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CRAN Package Check Results for Package lsasim

Last updated on 2026-11-02 05:53:13 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.1.6 6.02 263.16 269.18 OK
r-devel-linux-x86_64-debian-gcc 2.1.6 3.66 164.65 168.31 ERROR
r-devel-linux-x86_64-fedora-clang 2.1.6 177.75 ERROR
r-devel-linux-x86_64-fedora-gcc 2.1.6 177.70 OK
r-devel-windows-x86_64 2.1.6 8.00 257.00 265.00 OK
r-patched-linux-x86_64 2.1.6 7.23 232.56 239.79 OK
r-release-linux-x86_64 2.1.6 5.09 233.44 238.53 OK
r-release-macos-arm64 2.1.6 1.00 54.00 55.00 OK
r-release-macos-x86_64 2.1.6 4.00 257.00 261.00 OK
r-release-windows-x86_64 2.1.6 7.00 241.00 248.00 OK
r-oldrel-macos-arm64 2.1.6 OK
r-oldrel-macos-x86_64 2.1.6 4.00 260.00 264.00 OK
r-oldrel-windows-x86_64 2.1.6 9.00 309.00 318.00 OK

Check Details

Version: 2.1.6
Check: tests
Result: ERROR Running ‘testthat.R’ [113s/127s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(lsasim) This is lsasim 2.1.6 > > test_check("lsasim") Saving _problems/test.HugoReport-368.R Saving _problems/test.HugoReport-369.R Saving _problems/test.HugoReport-370.R Saving _problems/test.HugoReport-371.R Saving _problems/test.HugoReport-372.R Saving _problems/test.HugoReport-373.R Saving _problems/test.HugoReport-374.R Saving _problems/test.HugoReport-375.R Saving _problems/test.HugoReport-376.R Saving _problems/test.HugoReport-377.R Saving _problems/test.HugoReport-429.R Saving _problems/test.HugoReport-430.R Saving _problems/test.HugoReport-431.R Saving _problems/test.HugoReport-432.R Saving _problems/test.HugoReport-433.R Saving _problems/test.HugoReport-434.R Saving _problems/test.HugoReport-435.R Saving _problems/test.HugoReport-436.R Saving _problems/test.HugoReport-437.R Saving _problems/test.HugoReport-510.R Saving _problems/test.HugoReport-511.R Saving _problems/test.HugoReport-512.R Saving _problems/test.HugoReport-513.R [ FAIL 23 | WARN 1894 | SKIP 0 | PASS 498 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test.HugoReport.R:368:2'): Clusters are created correctly ───────── Expected output from `str(mc1)` to match regexp "school:List of 3". Actual output: ✖ │ List of 1 │ $ school: List of 3 │ ..$ : 'data.frame': 6 obs. of 6 variables: │ .. ..$ subject : int [1:6] 1 2 3 4 5 6 │ .. ..$ q1 : num [1:6] 0.296 0.334 0.384 -1.143 0.277 ... │ .. ..$ q2 : num [1:6] 0.329 0.663 1.189 2.084 0.546 ... │ .. ..$ q3 : num [1:6] 0.73 1.19 -0.86 0.835 -0.608 ... │ .. ..$ q4 : num [1:6] 234 235 235 236 234 ... │ .. ..$ uniqueID: chr [1:6] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 6 obs. of 6 variables: │ .. ..$ subject : int [1:6] 1 2 3 4 5 6 │ .. ..$ q1 : num [1:6] 0.437 -0.753 -0.308 -0.443 -0.237 ... │ .. ..$ q2 : num [1:6] -0.387486 0.3857 1.863753 -0.000799 1.502745 ... │ .. ..$ q3 : num [1:6] -0.7631 -0.0273 -1.2959 -0.1565 -0.7088 ... │ .. ..$ q4 : num [1:6] 233 234 234 233 233 ... │ .. ..$ uniqueID: chr [1:6] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 6 obs. of 6 variables: │ .. ..$ subject : int [1:6] 1 2 3 4 5 6 │ .. ..$ q1 : num [1:6] 0.6975 -0.0655 -0.3922 0.7106 2.3096 ... │ .. ..$ q2 : num [1:6] 1.828 -0.393 0.406 0.323 1.76 ... │ .. ..$ q3 : num [1:6] -0.243 -0.776 -0.271 0.256 0.202 ... │ .. ..$ q4 : num [1:6] 234 233 233 234 235 ... │ .. ..$ uniqueID: chr [1:6] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:369:2'): Clusters are created correctly ───────── Expected output from `str(mc4)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1655 obs. of 6 variables: │ .. ..$ subject : int [1:1655] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1655] -0.122 0.404 -1.977 -0.115 0.575 ... │ .. ..$ q2 : num [1:1655] 1.108 -0.862 1.896 -0.982 1.286 ... │ .. ..$ q3 : num [1:1655] 0.127 -0.745 -0.962 0.432 1.3 ... │ .. ..$ q4 : num [1:1655] 233 233 233 234 235 ... │ .. ..$ uniqueID: chr [1:1655] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 1029 obs. of 6 variables: │ .. ..$ subject : int [1:1029] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1029] -0.3377 -0.0797 1.2032 0.558 1.5885 ... │ .. ..$ q2 : num [1:1029] -0.8002 -0.853 0.352 -0.0594 0.7628 ... │ .. ..$ q3 : num [1:1029] -0.4223 -0.0407 -0.5249 -0.9709 1.8899 ... │ .. ..$ q4 : num [1:1029] 233 234 234 233 235 ... │ .. ..$ uniqueID: chr [1:1029] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 3027 obs. of 6 variables: │ .. ..$ subject : int [1:3027] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3027] 1.56 -0.602 -0.917 -0.889 1.752 ... │ .. ..$ q2 : num [1:3027] 1.145 2.139 -0.908 -1.348 1.96 ... │ .. ..$ q3 : num [1:3027] 0.843 1.119 -1.777 0.434 0.308 ... │ .. ..$ q4 : num [1:3027] 234 235 232 233 235 ... │ .. ..$ uniqueID: chr [1:3027] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2374 obs. of 6 variables: │ .. ..$ subject : int [1:2374] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2374] 0.265 0.202 1.958 -1.078 -0.843 ... │ .. ..$ q2 : num [1:2374] 0.652 0.589 0.717 1.024 1.41 ... │ .. ..$ q3 : num [1:2374] -1.8721 -0.1685 -0.0523 -0.0146 0.2764 ... │ .. ..$ q4 : num [1:2374] 233 233 235 235 234 ... │ .. ..$ uniqueID: chr [1:2374] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 2554 obs. of 6 variables: │ .. ..$ subject : int [1:2554] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2554] 2.004 0.853 1.042 -0.811 0.274 ... │ .. ..$ q2 : num [1:2554] 2.9273 -0.0841 1.4666 0.8154 1.2517 ... │ .. ..$ q3 : num [1:2554] 2.067 -0.278 0.257 -0.236 0.583 ... │ .. ..$ q4 : num [1:2554] 236 234 235 234 235 ... │ .. ..$ uniqueID: chr [1:2554] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 1811 obs. of 6 variables: │ .. ..$ subject : int [1:1811] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1811] -0.0363 -0.2778 0.4179 0.9536 1.2724 ... │ .. ..$ q2 : num [1:1811] -0.806 1.122 0.583 0.706 1.108 ... │ .. ..$ q3 : num [1:1811] -0.863 0.478 -0.347 -0.751 0.071 ... │ .. ..$ q4 : num [1:1811] 233 234 234 234 234 ... │ .. ..$ uniqueID: chr [1:1811] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 4661 obs. of 6 variables: │ .. ..$ subject : int [1:4661] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4661] -0.463 0.41 -0.853 1.089 0.233 ... │ .. ..$ q2 : num [1:4661] 0.729 0.314 -0.419 0.818 -0.128 ... │ .. ..$ q3 : num [1:4661] -1.223 -0.8372 -1.9408 -0.0563 -0.993 ... │ .. ..$ q4 : num [1:4661] 234 234 232 234 233 ... │ .. ..$ uniqueID: chr [1:4661] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 2097 obs. of 6 variables: │ .. ..$ subject : int [1:2097] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2097] 0.639 -0.516 0.234 0.984 -0.253 ... │ .. ..$ q2 : num [1:2097] 0.8591 -0.8517 -1.4826 0.8376 -0.0544 ... │ .. ..$ q3 : num [1:2097] 2.27962 -0.66175 -0.82258 1.22514 -0.00823 ... │ .. ..$ q4 : num [1:2097] 236 233 233 235 233 ... │ .. ..$ uniqueID: chr [1:2097] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 2158 obs. of 6 variables: │ .. ..$ subject : int [1:2158] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2158] -1.1906 0.1028 -0.8392 0.0937 1.1801 ... │ .. ..$ q2 : num [1:2158] 1.05 0.296 -1.064 -1.146 -0.202 ... │ .. ..$ q3 : num [1:2158] 0.646 0.422 -1.079 -1.637 -0.683 ... │ .. ..$ q4 : num [1:2158] 234 234 233 232 233 ... │ .. ..$ uniqueID: chr [1:2158] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 1966 obs. of 6 variables: │ .. ..$ subject : int [1:1966] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1966] 0.4886 0.0743 1.3569 -1.7332 -0.9958 ... │ .. ..$ q2 : num [1:1966] 3.413 2.311 0.266 1.807 -0.976 ... │ .. ..$ q3 : num [1:1966] 0.362 2.339 -0.467 -0.655 -0.927 ... │ .. ..$ q4 : num [1:1966] 236 236 235 234 233 ... │ .. ..$ uniqueID: chr [1:1966] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:370:2'): Clusters are created correctly ───────── Expected output from `str(mc1_1)` to match regexp "school:List of 3". Actual output: ✖ │ List of 1 │ $ school: List of 3 │ ..$ : 'data.frame': 6 obs. of 6 variables: │ .. ..$ subject : int [1:6] 1 2 3 4 5 6 │ .. ..$ q1 : num [1:6] 0.2096 -0.0632 -0.9423 0.5759 0.6966 ... │ .. ..$ q2 : num [1:6] 1.493 -0.952 -0.113 1.019 1.739 ... │ .. ..$ q3 : num [1:6] 0.883 -2.012 -1.271 -0.326 -1.147 ... │ .. ..$ q4 : num [1:6] 235 233 233 234 235 ... │ .. ..$ uniqueID: chr [1:6] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 6 obs. of 6 variables: │ .. ..$ subject : int [1:6] 1 2 3 4 5 6 │ .. ..$ q1 : num [1:6] -0.938 -0.0979 0.5741 -1.7111 -1.2431 ... │ .. ..$ q2 : num [1:6] 0.52 0.318 0.449 0.322 -1.958 ... │ .. ..$ q3 : num [1:6] -0.362 -0.109 -0.951 -0.348 -2.249 ... │ .. ..$ q4 : num [1:6] 234 234 233 234 232 ... │ .. ..$ uniqueID: chr [1:6] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 6 obs. of 6 variables: │ .. ..$ subject : int [1:6] 1 2 3 4 5 6 │ .. ..$ q1 : num [1:6] 0.285 -0.374 -1.509 0.634 1.002 ... │ .. ..$ q2 : num [1:6] 0.141 -1.695 -1.149 -0.492 0.403 ... │ .. ..$ q3 : num [1:6] -1.787 0.182 -0.234 -0.778 -0.898 ... │ .. ..$ q4 : num [1:6] 233 234 233 232 233 ... │ .. ..$ uniqueID: chr [1:6] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:371:2'): Clusters are created correctly ───────── Expected output from `str(mc7)` to match regexp "country:List of 2". Actual output: ✖ │ List of 3 │ $ country: List of 2 │ ..$ : 'data.frame': 10 obs. of 5 variables: │ .. ..$ subject : int [1:10] 1 2 3 4 5 6 7 8 9 10 │ .. ..$ q1 : num [1:10] 21.6 19.7 19.1 20.3 20 ... │ .. ..$ q2 : num [1:10] 0.902 -0.754 -0.493 -0.515 -1.002 ... │ .. ..$ q3 : num [1:10] 52.2 50.9 50.1 51.3 51.5 ... │ .. ..$ uniqueID: chr [1:10] "school1_country1" "school2_country1" "school3_country1" "school4_country1" ... │ ..$ : 'data.frame': 10 obs. of 5 variables: │ .. ..$ subject : int [1:10] 1 2 3 4 5 6 7 8 9 10 │ .. ..$ q1 : num [1:10] 17.4 21.5 21.8 20.3 19.8 ... │ .. ..$ q2 : num [1:10] -1.571 1.109 1.039 0.874 -0.875 ... │ .. ..$ q3 : num [1:10] 48.7 51.6 51 50.8 50.9 ... │ .. ..$ uniqueID: chr [1:10] "school1_country2" "school2_country2" "school3_country2" "school4_country2" ... │ $ school : List of 20 │ ..$ : 'data.frame': 2 obs. of 5 variables: │ .. ..$ subject : int [1:2] 1 2 │ .. ..$ q1 : num [1:2] 18.5 20.1 │ .. ..$ q2 : num [1:2] -0.194 0.581 │ .. ..$ q3 : num [1:2] 49.4 50.3 │ .. ..$ uniqueID: chr [1:2] "class1_school1_country1" "class2_school1_country1" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 19.9 │ .. ..$ q2 : num 0.195 │ .. ..$ q3 : num 50.7 │ .. ..$ uniqueID: chr "class1_school2_country1" │ ..$ : 'data.frame': 3 obs. of 5 variables: │ .. ..$ subject : int [1:3] 1 2 3 │ .. ..$ q1 : num [1:3] 20.6 19.1 20 │ .. ..$ q2 : num [1:3] 1.549 -0.187 1.471 │ .. ..$ q3 : num [1:3] 50.8 50.6 51.3 │ .. ..$ uniqueID: chr [1:3] "class1_school3_country1" "class2_school3_country1" "class3_school3_country1" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 18 │ .. ..$ q2 : num 0.169 │ .. ..$ q3 : num 48.2 │ .. ..$ uniqueID: chr "class1_school4_country1" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 20.1 │ .. ..$ q2 : num -0.691 │ .. ..$ q3 : num 51.5 │ .. ..$ uniqueID: chr "class1_school5_country1" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 20.7 │ .. ..$ q2 : num 1.81 │ .. ..$ q3 : num 50.2 │ .. ..$ uniqueID: chr "class1_school6_country1" │ ..$ : 'data.frame': 2 obs. of 5 variables: │ .. ..$ subject : int [1:2] 1 2 │ .. ..$ q1 : num [1:2] 19.6 19.5 │ .. ..$ q2 : num [1:2] 0.207 -2.255 │ .. ..$ q3 : num [1:2] 50 50.2 │ .. ..$ uniqueID: chr [1:2] "class1_school7_country1" "class2_school7_country1" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 20.1 │ .. ..$ q2 : num 1.07 │ .. ..$ q3 : num 49.8 │ .. ..$ uniqueID: chr "class1_school8_country1" │ ..$ : 'data.frame': 2 obs. of 5 variables: │ .. ..$ subject : int [1:2] 1 2 │ .. ..$ q1 : num [1:2] 19.5 20.4 │ .. ..$ q2 : num [1:2] -0.374 1.407 │ .. ..$ q3 : num [1:2] 49.9 50.5 │ .. ..$ uniqueID: chr [1:2] "class1_school9_country1" "class2_school9_country1" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 18.5 │ .. ..$ q2 : num -0.232 │ .. ..$ q3 : num 49.2 │ .. ..$ uniqueID: chr "class1_school10_country1" │ ..$ : 'data.frame': 2 obs. of 5 variables: │ .. ..$ subject : int [1:2] 1 2 │ .. ..$ q1 : num [1:2] 19.7 19.4 │ .. ..$ q2 : num [1:2] -1.281 -0.702 │ .. ..$ q3 : num [1:2] 50.1 50 │ .. ..$ uniqueID: chr [1:2] "class1_school1_country2" "class2_school1_country2" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 16.9 │ .. ..$ q2 : num -1.6 │ .. ..$ q3 : num 48.8 │ .. ..$ uniqueID: chr "class1_school2_country2" │ ..$ : 'data.frame': 3 obs. of 5 variables: │ .. ..$ subject : int [1:3] 1 2 3 │ .. ..$ q1 : num [1:3] 21.5 20.8 21 │ .. ..$ q2 : num [1:3] 0.176 0.828 0.311 │ .. ..$ q3 : num [1:3] 52.1 51.7 50.6 │ .. ..$ uniqueID: chr [1:3] "class1_school3_country2" "class2_school3_country2" "class3_school3_country2" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 19.5 │ .. ..$ q2 : num 1.44 │ .. ..$ q3 : num 49.1 │ .. ..$ uniqueID: chr "class1_school4_country2" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 19.2 │ .. ..$ q2 : num 0.453 │ .. ..$ q3 : num 50.1 │ .. ..$ uniqueID: chr "class1_school5_country2" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 19.8 │ .. ..$ q2 : num -0.21 │ .. ..$ q3 : num 50.2 │ .. ..$ uniqueID: chr "class1_school6_country2" │ ..$ : 'data.frame': 2 obs. of 5 variables: │ .. ..$ subject : int [1:2] 1 2 │ .. ..$ q1 : num [1:2] 19.1 20.1 │ .. ..$ q2 : num [1:2] 0.438 0.853 │ .. ..$ q3 : num [1:2] 49.5 50.7 │ .. ..$ uniqueID: chr [1:2] "class1_school7_country2" "class2_school7_country2" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 19 │ .. ..$ q2 : num 0.25 │ .. ..$ q3 : num 49.9 │ .. ..$ uniqueID: chr "class1_school8_country2" │ ..$ : 'data.frame': 2 obs. of 5 variables: │ .. ..$ subject : int [1:2] 1 2 │ .. ..$ q1 : num [1:2] 19.7 18.7 │ .. ..$ q2 : num [1:2] -0.37 -1.56 │ .. ..$ q3 : num [1:2] 50.3 49.4 │ .. ..$ uniqueID: chr [1:2] "class1_school9_country2" "class2_school9_country2" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 18.9 │ .. ..$ q2 : num 0.281 │ .. ..$ q3 : num 48.9 │ .. ..$ uniqueID: chr "class1_school10_country2" │ $ class : List of 30 │ ..$ : 'data.frame': 39 obs. of 5 variables: │ .. ..$ subject : int [1:39] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:39] 19.4 20.7 21.1 19.2 19.5 ... │ .. ..$ q2 : num [1:39] 0.476 1.02 0.233 0.56 1.414 ... │ .. ..$ q3 : num [1:39] 48.7 50.4 52 50.1 50.6 ... │ .. ..$ uniqueID: chr [1:39] "student1_class1_school1_country1" "student2_class1_school1_country1" "student3_class1_school1_country1" "student4_class1_school1_country1" ... │ ..$ : 'data.frame': 35 obs. of 5 variables: │ .. ..$ subject : int [1:35] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:35] 19.8 19.4 19 18.5 20 ... │ .. ..$ q2 : num [1:35] 0.0838 0.5273 1.0577 -1.0109 2.0534 ... │ .. ..$ q3 : num [1:35] 50.2 48.7 48.9 49.7 50.5 ... │ .. ..$ uniqueID: chr [1:35] "student1_class2_school1_country1" "student2_class2_school1_country1" "student3_class2_school1_country1" "student4_class2_school1_country1" ... │ ..$ : 'data.frame': 19 obs. of 5 variables: │ .. ..$ subject : int [1:19] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:19] 20.5 20 20.1 19.3 19.1 ... │ .. ..$ q2 : num [1:19] -0.8958 0.0397 0.775 0.8152 0.8554 ... │ .. ..$ q3 : num [1:19] 50.2 50.4 51 49.9 50.5 ... │ .. ..$ uniqueID: chr [1:19] "student1_class1_school2_country1" "student2_class1_school2_country1" "student3_class1_school2_country1" "student4_class1_school2_country1" ... │ ..$ : 'data.frame': 27 obs. of 5 variables: │ .. ..$ subject : int [1:27] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:27] 19.6 22.1 20.2 19.5 20.2 ... │ .. ..$ q2 : num [1:27] -0.54 1.337 1.744 -0.11 0.535 ... │ .. ..$ q3 : num [1:27] 49.4 52.3 50.8 50.6 50.6 ... │ .. ..$ uniqueID: chr [1:27] "student1_class1_school3_country1" "student2_class1_school3_country1" "student3_class1_school3_country1" "student4_class1_school3_country1" ... │ ..$ : 'data.frame': 17 obs. of 5 variables: │ .. ..$ subject : int [1:17] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:17] 18.9 20.7 20.9 18.4 21.6 ... │ .. ..$ q2 : num [1:17] -0.915 0.39 0.735 0.135 1.622 ... │ .. ..$ q3 : num [1:17] 48.8 49.9 51.4 48.1 51.6 ... │ .. ..$ uniqueID: chr [1:17] "student1_class2_school3_country1" "student2_class2_school3_country1" "student3_class2_school3_country1" "student4_class2_school3_country1" ... │ ..$ : 'data.frame': 29 obs. of 5 variables: │ .. ..$ subject : int [1:29] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:29] 20.2 20.7 19.1 20 19.2 ... │ .. ..$ q2 : num [1:29] 0.302 -1.408 -0.231 -0.298 -0.236 ... │ .. ..$ q3 : num [1:29] 50.4 50.5 48.7 49.5 50 ... │ .. ..$ uniqueID: chr [1:29] "student1_class3_school3_country1" "student2_class3_school3_country1" "student3_class3_school3_country1" "student4_class3_school3_country1" ... │ ..$ : 'data.frame': 18 obs. of 5 variables: │ .. ..$ subject : int [1:18] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:18] 20.1 20 20.7 21.6 19.4 ... │ .. ..$ q2 : num [1:18] -0.145 1.158 0.709 2.465 0.835 ... │ .. ..$ q3 : num [1:18] 50.4 52.1 50.3 51.3 50.7 ... │ .. ..$ uniqueID: chr [1:18] "student1_class1_school4_country1" "student2_class1_school4_country1" "student3_class1_school4_country1" "student4_class1_school4_country1" ... │ ..$ : 'data.frame': 20 obs. of 5 variables: │ .. ..$ subject : int [1:20] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:20] 20.9 19.8 20.8 19.6 19.2 ... │ .. ..$ q2 : num [1:20] 0.625 -0.652 -0.663 0.133 -1.203 ... │ .. ..$ q3 : num [1:20] 51 51.2 51.7 50.6 50.1 ... │ .. ..$ uniqueID: chr [1:20] "student1_class1_school5_country1" "student2_class1_school5_country1" "student3_class1_school5_country1" "student4_class1_school5_country1" ... │ ..$ : 'data.frame': 11 obs. of 5 variables: │ .. ..$ subject : int [1:11] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:11] 20.2 21.5 18.2 19.2 19.9 ... │ .. ..$ q2 : num [1:11] 0.2715 0.9327 -0.3294 -0.0256 -1.3349 ... │ .. ..$ q3 : num [1:11] 50.4 51.5 48.9 50 50.4 ... │ .. ..$ uniqueID: chr [1:11] "student1_class1_school6_country1" "student2_class1_school6_country1" "student3_class1_school6_country1" "student4_class1_school6_country1" ... │ ..$ : 'data.frame': 19 obs. of 5 variables: │ .. ..$ subject : int [1:19] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:19] 21 19.7 21.6 20.9 19.6 ... │ .. ..$ q2 : num [1:19] 0.577 0.395 0.876 0.412 0.637 ... │ .. ..$ q3 : num [1:19] 51.8 50.9 52.1 51.2 51.7 ... │ .. ..$ uniqueID: chr [1:19] "student1_class1_school7_country1" "student2_class1_school7_country1" "student3_class1_school7_country1" "student4_class1_school7_country1" ... │ ..$ : 'data.frame': 27 obs. of 5 variables: │ .. ..$ subject : int [1:27] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:27] 20.8 19.8 19 19.4 19.6 ... │ .. ..$ q2 : num [1:27] 0.181 -0.304 0.616 0.906 0.821 ... │ .. ..$ q3 : num [1:27] 50.4 50.1 49.2 50.2 49.4 ... │ .. ..$ uniqueID: chr [1:27] "student1_class2_school7_country1" "student2_class2_school7_country1" "student3_class2_school7_country1" "student4_class2_school7_country1" ... │ ..$ : 'data.frame': 21 obs. of 5 variables: │ .. ..$ subject : int [1:21] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:21] 19.1 18 20.8 20.2 19.9 ... │ .. ..$ q2 : num [1:21] -1.1641 -1.577 0.7795 -0.5685 -0.0782 ... │ .. ..$ q3 : num [1:21] 50.1 49.3 50.6 50.8 50.6 ... │ .. ..$ uniqueID: chr [1:21] "student1_class1_school8_country1" "student2_class1_school8_country1" "student3_class1_school8_country1" "student4_class1_school8_country1" ... │ ..$ : 'data.frame': 35 obs. of 5 variables: │ .. ..$ subject : int [1:35] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:35] 20.6 21.7 19.8 19.5 19.4 ... │ .. ..$ q2 : num [1:35] 0.651 0.969 0.184 0.615 0.604 ... │ .. ..$ q3 : num [1:35] 50.3 52.9 50.8 49.7 51.2 ... │ .. ..$ uniqueID: chr [1:35] "student1_class1_school9_country1" "student2_class1_school9_country1" "student3_class1_school9_country1" "student4_class1_school9_country1" ... │ ..$ : 'data.frame': 34 obs. of 5 variables: │ .. ..$ subject : int [1:34] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:34] 19.2 21.7 20.4 19.2 20.4 ... │ .. ..$ q2 : num [1:34] 0.645 0.945 -0.823 -0.612 -0.112 ... │ .. ..$ q3 : num [1:34] 51.1 52 51.4 51 49.9 ... │ .. ..$ uniqueID: chr [1:34] "student1_class2_school9_country1" "student2_class2_school9_country1" "student3_class2_school9_country1" "student4_class2_school9_country1" ... │ ..$ : 'data.frame': 12 obs. of 5 variables: │ .. ..$ subject : int [1:12] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:12] 21.5 20.5 21.2 19.4 21.9 ... │ .. ..$ q2 : num [1:12] 1.648 3.066 1.639 0.413 1.481 ... │ .. ..$ q3 : num [1:12] 51.7 50.8 50.6 49.7 52.3 ... │ .. ..$ uniqueID: chr [1:12] "student1_class1_school10_country1" "student2_class1_school10_country1" "student3_class1_school10_country1" "student4_class1_school10_country1" ... │ ..$ : 'data.frame': 47 obs. of 5 variables: │ .. ..$ subject : int [1:47] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:47] 20.4 20.5 20.9 19.7 18.3 ... │ .. ..$ q2 : num [1:47] 0.296 0.862 0.42 0.131 -0.242 ... │ .. ..$ q3 : num [1:47] 50 51.7 51.1 50.5 49.2 ... │ .. ..$ uniqueID: chr [1:47] "student1_class1_school1_country2" "student2_class1_school1_country2" "student3_class1_school1_country2" "student4_class1_school1_country2" ... │ ..$ : 'data.frame': 11 obs. of 5 variables: │ .. ..$ subject : int [1:11] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:11] 19.2 20.6 19.5 21 19.8 ... │ .. ..$ q2 : num [1:11] -0.068 0.483 -0.262 -0.201 0.176 ... │ .. ..$ q3 : num [1:11] 49.2 50.5 49.7 52.4 50.8 ... │ .. ..$ uniqueID: chr [1:11] "student1_class2_school1_country2" "student2_class2_school1_country2" "student3_class2_school1_country2" "student4_class2_school1_country2" ... │ ..$ : 'data.frame': 29 obs. of 5 variables: │ .. ..$ subject : int [1:29] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:29] 18.9 19.7 18.8 20.8 20 ... │ .. ..$ q2 : num [1:29] 0.142 0.52 -0.316 0.807 1.537 ... │ .. ..$ q3 : num [1:29] 50 49.9 50.4 51.3 51.2 ... │ .. ..$ uniqueID: chr [1:29] "student1_class1_school2_country2" "student2_class1_school2_country2" "student3_class1_school2_country2" "student4_class1_school2_country2" ... │ ..$ : 'data.frame': 21 obs. of 5 variables: │ .. ..$ subject : int [1:21] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:21] 21 18.7 18.9 20 18.2 ... │ .. ..$ q2 : num [1:21] 1.273 1.51 -0.263 0.111 -0.697 ... │ .. ..$ q3 : num [1:21] 50.9 49.6 49.9 50.7 49.6 ... │ .. ..$ uniqueID: chr [1:21] "student1_class1_school3_country2" "student2_class1_school3_country2" "student3_class1_school3_country2" "student4_class1_school3_country2" ... │ ..$ : 'data.frame': 24 obs. of 5 variables: │ .. ..$ subject : int [1:24] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:24] 20 19.7 20.8 19.5 19.3 ... │ .. ..$ q2 : num [1:24] -0.986 0.877 0.717 -1.229 -0.141 ... │ .. ..$ q3 : num [1:24] 51.3 49 50.7 50.8 50.6 ... │ .. ..$ uniqueID: chr [1:24] "student1_class2_school3_country2" "student2_class2_school3_country2" "student3_class2_school3_country2" "student4_class2_school3_country2" ... │ ..$ : 'data.frame': 14 obs. of 5 variables: │ .. ..$ subject : int [1:14] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:14] 20.1 20 19.4 19 19.6 ... │ .. ..$ q2 : num [1:14] 0.66 -0.923 -0.488 -0.287 -0.739 ... │ .. ..$ q3 : num [1:14] 51.4 51.3 50.9 49.8 49.6 ... │ .. ..$ uniqueID: chr [1:14] "student1_class3_school3_country2" "student2_class3_school3_country2" "student3_class3_school3_country2" "student4_class3_school3_country2" ... │ ..$ : 'data.frame': 15 obs. of 5 variables: │ .. ..$ subject : int [1:15] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:15] 20 19.7 19.8 20 20.4 ... │ .. ..$ q2 : num [1:15] 0.921 0.707 0.28 1.262 1.7 ... │ .. ..$ q3 : num [1:15] 49.7 50.7 50.1 50.5 50.6 ... │ .. ..$ uniqueID: chr [1:15] "student1_class1_school4_country2" "student2_class1_school4_country2" "student3_class1_school4_country2" "student4_class1_school4_country2" ... │ ..$ : 'data.frame': 15 obs. of 5 variables: │ .. ..$ subject : int [1:15] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:15] 19.8 20.5 19.1 20.9 20.1 ... │ .. ..$ q2 : num [1:15] 1.132 1.107 1.004 0.582 0.46 ... │ .. ..$ q3 : num [1:15] 50.8 51.9 49.5 51.9 50.6 ... │ .. ..$ uniqueID: chr [1:15] "student1_class1_school5_country2" "student2_class1_school5_country2" "student3_class1_school5_country2" "student4_class1_school5_country2" ... │ ..$ : 'data.frame': 28 obs. of 5 variables: │ .. ..$ subject : int [1:28] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:28] 19.8 21.5 19.9 21.4 20.6 ... │ .. ..$ q2 : num [1:28] 0.0415 1.0815 -1.3937 1.6799 0.9592 ... │ .. ..$ q3 : num [1:28] 50 52 50.9 51.3 50.8 ... │ .. ..$ uniqueID: chr [1:28] "student1_class1_school6_country2" "student2_class1_school6_country2" "student3_class1_school6_country2" "student4_class1_school6_country2" ... │ ..$ : 'data.frame': 38 obs. of 5 variables: │ .. ..$ subject : int [1:38] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:38] 20.5 20.1 17.2 19.9 18.8 ... │ .. ..$ q2 : num [1:38] 0.432 1.404 -0.597 -1.058 -0.107 ... │ .. ..$ q3 : num [1:38] 51.3 50.8 47.5 51.6 50.3 ... │ .. ..$ uniqueID: chr [1:38] "student1_class1_school7_country2" "student2_class1_school7_country2" "student3_class1_school7_country2" "student4_class1_school7_country2" ... │ ..$ : 'data.frame': 14 obs. of 5 variables: │ .. ..$ subject : int [1:14] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:14] 21.4 20.7 21 19.8 21.4 ... │ .. ..$ q2 : num [1:14] 1.156 0.173 0.739 -0.178 1.787 ... │ .. ..$ q3 : num [1:14] 51.7 51.1 51.1 51.4 51.9 ... │ .. ..$ uniqueID: chr [1:14] "student1_class2_school7_country2" "student2_class2_school7_country2" "student3_class2_school7_country2" "student4_class2_school7_country2" ... │ ..$ : 'data.frame': 29 obs. of 5 variables: │ .. ..$ subject : int [1:29] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:29] 20.7 19.4 19.8 19.5 19.9 ... │ .. ..$ q2 : num [1:29] 0.2186 -0.5797 -0.0697 0.5751 1.9329 ... │ .. ..$ q3 : num [1:29] 51.5 49.4 50.6 50.6 51.1 ... │ .. ..$ uniqueID: chr [1:29] "student1_class1_school8_country2" "student2_class1_school8_country2" "student3_class1_school8_country2" "student4_class1_school8_country2" ... │ ..$ : 'data.frame': 11 obs. of 5 variables: │ .. ..$ subject : int [1:11] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:11] 21.2 19.3 20.1 18.2 21 ... │ .. ..$ q2 : num [1:11] 1.7122 -1.1447 0.0129 -1.4198 0.6908 ... │ .. ..$ q3 : num [1:11] 50.6 50 50.5 50.1 50.8 ... │ .. ..$ uniqueID: chr [1:11] "student1_class1_school9_country2" "student2_class1_school9_country2" "student3_class1_school9_country2" "student4_class1_school9_country2" ... │ ..$ : 'data.frame': 18 obs. of 5 variables: │ .. ..$ subject : int [1:18] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:18] 21.8 21.1 20.4 18.8 18.5 ... │ .. ..$ q2 : num [1:18] 1.6 0.282 -0.192 -0.569 -0.224 ... │ .. ..$ q3 : num [1:18] 52.7 51 51.6 49.9 49.4 ... │ .. ..$ uniqueID: chr [1:18] "student1_class2_school9_country2" "student2_class2_school9_country2" "student3_class2_school9_country2" "student4_class2_school9_country2" ... │ ..$ : 'data.frame': 10 obs. of 5 variables: │ .. ..$ subject : int [1:10] 1 2 3 4 5 6 7 8 9 10 │ .. ..$ q1 : num [1:10] 20.2 19.7 21.3 19.3 20.3 ... │ .. ..$ q2 : num [1:10] -0.6169 1.2454 0.0528 0.4313 1.1947 ... │ .. ..$ q3 : num [1:10] 50.5 49.1 50.8 49.1 50.4 ... │ .. ..$ uniqueID: chr [1:10] "student1_class1_school10_country2" "student2_class1_school10_country2" "student3_class1_school10_country2" "student4_class1_school10_country2" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:372:2'): Clusters are created correctly ───────── Expected output from `str(mc7_1)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 6 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] -0.968 0.936 -0.292 0.451 -0.03 ... │ .. ..$ q2 : num [1:1997] -0.0949 -1.6595 0.3444 -0.5639 0.4219 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 1 2 1 3 2 1 3 3 3 1 ... │ .. ..$ q4 : Factor w/ 5 levels "1","2","3","4",..: 3 2 2 5 3 3 4 5 5 1 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 6 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 0.928 0.571 0.327 0.967 0.493 ... │ .. ..$ q2 : num [1:2062] 1.699 0.966 -0.945 -0.465 1.334 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 1 1 2 2 1 1 1 1 2 ... │ .. ..$ q4 : Factor w/ 5 levels "1","2","3","4",..: 5 5 3 5 5 4 4 4 3 4 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 6 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] -0.223 1.442 0.802 0.127 -0.667 ... │ .. ..$ q2 : num [1:2963] -1.903 1.875 -0.615 0.72 0.999 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 1 5 1 3 4 1 1 1 1 1 ... │ .. ..$ q4 : Factor w/ 4 levels "1","2","3","4": 1 4 1 4 4 4 2 4 1 2 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 6 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 1.702 -0.713 -0.229 2.17 0.459 ... │ .. ..$ q2 : num [1:2321] 0.2248 -0.3608 0.0785 -0.1979 0.681 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 3 1 2 3 4 4 3 3 1 4 ... │ .. ..$ q4 : Factor w/ 3 levels "1","2","3": 2 1 1 2 3 3 2 2 2 3 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 6 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 1.149 0.153 1.616 0.677 -1.156 ... │ .. ..$ q2 : num [1:4082] -0.0975 1.2036 0.9811 0.0613 0.2765 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 1 1 1 1 1 2 1 1 1 ... │ .. ..$ q4 : Factor w/ 2 levels "1","2": 2 1 1 2 1 2 2 2 1 1 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 6 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] -0.058 1.088 1.497 0.704 -0.288 ... │ .. ..$ q2 : num [1:3505] 0.151 0.75 0.401 0.743 1.868 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 1 2 2 1 3 1 3 1 2 1 ... │ .. ..$ q4 : Factor w/ 4 levels "1","2","3","4": 2 4 4 3 4 3 4 3 4 3 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 6 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 1.6028 0.6379 -0.4658 0.2784 0.0372 ... │ .. ..$ q2 : num [1:3914] 1.0107 -0.6248 0.0422 0.5081 -2.1824 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 1 2 4 2 1 2 4 3 4 2 ... │ .. ..$ q4 : Factor w/ 3 levels "1","2","3": 1 3 2 3 1 1 3 3 3 3 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 6 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] -0.69176 1.33994 -0.67908 -0.43113 -0.00484 ... │ .. ..$ q2 : num [1:1155] 0.309 2.555 -1.609 -0.641 0.21 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 3 4 1 3 3 1 3 3 1 3 ... │ .. ..$ q4 : Factor w/ 2 levels "1","2": 1 2 1 1 2 1 1 2 1 2 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 6 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 0.699 -0.667 1.493 -0.182 2.015 ... │ .. ..$ q2 : num [1:1504] 0.786 -0.415 0.358 -2.185 0.382 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 3 1 4 3 2 4 4 1 1 4 ... │ .. ..$ q4 : Factor w/ 5 levels "1","2","3","4",..: 4 1 3 1 3 3 4 4 2 5 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 6 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] -0.291 0.399 0.792 0.618 -0.146 ... │ .. ..$ q2 : num [1:3229] -1.094 -0.697 -0.595 -0.338 -1.517 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 1 3 3 1 2 3 1 2 3 5 ... │ .. ..$ q4 : Factor w/ 2 levels "1","2": 1 1 1 1 1 1 1 1 1 1 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:373:2'): Clusters are created correctly ───────── Expected output from `str(mc7_2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1114 obs. of 6 variables: │ .. ..$ subject : int [1:1114] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1114] -0.857 2.015 0.341 0.661 1.242 ... │ .. ..$ q2 : num [1:1114] -1.814 -0.194 1.143 0.668 0.712 ... │ .. ..$ q3 : num [1:1114] 232 234 234 235 235 ... │ .. ..$ q4 : Factor w/ 5 levels "1","2","3","4",..: 1 4 4 5 4 5 4 4 3 2 ... │ .. ..$ uniqueID: chr [1:1114] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 3026 obs. of 6 variables: │ .. ..$ subject : int [1:3026] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3026] 0.867 0.41 1.569 1.615 -0.5 ... │ .. ..$ q2 : num [1:3026] 1.724 -1.863 -1.533 0.659 -1.68 ... │ .. ..$ q3 : num [1:3026] 235 234 234 234 233 ... │ .. ..$ q4 : Factor w/ 3 levels "1","2","3": 3 1 2 2 1 1 1 3 3 1 ... │ .. ..$ uniqueID: chr [1:3026] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 1069 obs. of 6 variables: │ .. ..$ subject : int [1:1069] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1069] -0.1316 2.0102 0.0146 0.6859 -1.207 ... │ .. ..$ q2 : num [1:1069] 0.0341 1.9648 1.157 1.8564 -1.2839 ... │ .. ..$ q3 : num [1:1069] 234 235 234 235 232 ... │ .. ..$ q4 : Factor w/ 4 levels "1","2","3","4": 3 4 3 4 1 1 3 3 3 1 ... │ .. ..$ uniqueID: chr [1:1069] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 3731 obs. of 6 variables: │ .. ..$ subject : int [1:3731] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3731] -0.0836 0.1816 -1.9668 -0.1045 1.0242 ... │ .. ..$ q2 : num [1:3731] 0.127 -2.272 0.785 0.72 1.163 ... │ .. ..$ q3 : num [1:3731] 235 232 236 233 234 ... │ .. ..$ q4 : Factor w/ 5 levels "1","2","3","4",..: 5 1 5 3 2 5 4 1 1 1 ... │ .. ..$ uniqueID: chr [1:3731] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 2121 obs. of 6 variables: │ .. ..$ subject : int [1:2121] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2121] 1.553 2.435 0.606 -0.189 0.764 ... │ .. ..$ q2 : num [1:2121] -0.465 1.718 0.761 -2.078 0.706 ... │ .. ..$ q3 : num [1:2121] 234 235 236 231 233 ... │ .. ..$ q4 : Factor w/ 3 levels "1","2","3": 3 3 3 1 3 2 3 1 3 3 ... │ .. ..$ uniqueID: chr [1:2121] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 1900 obs. of 6 variables: │ .. ..$ subject : int [1:1900] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1900] -0.166 2.072 0.953 1.332 -0.512 ... │ .. ..$ q2 : num [1:1900] 0.117 0.363 -1.238 0.115 -0.858 ... │ .. ..$ q3 : num [1:1900] 235 234 233 234 233 ... │ .. ..$ q4 : Factor w/ 4 levels "1","2","3","4": 3 3 1 4 1 3 2 4 2 3 ... │ .. ..$ uniqueID: chr [1:1900] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 2939 obs. of 6 variables: │ .. ..$ subject : int [1:2939] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2939] -0.294 1.426 0.266 -0.267 -0.496 ... │ .. ..$ q2 : num [1:2939] -0.435 -0.576 0.898 0.966 -2.311 ... │ .. ..$ q3 : num [1:2939] 234 234 233 234 233 ... │ .. ..$ q4 : Factor w/ 5 levels "1","2","3","4",..: 1 2 2 2 1 3 2 1 4 1 ... │ .. ..$ uniqueID: chr [1:2939] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1747 obs. of 6 variables: │ .. ..$ subject : int [1:1747] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1747] -0.339 -0.527 0.568 0.151 -0.285 ... │ .. ..$ q2 : num [1:1747] 0.2769 -0.0826 -0.4632 -0.1301 -0.0355 ... │ .. ..$ q3 : num [1:1747] 234 234 236 235 233 ... │ .. ..$ q4 : Factor w/ 4 levels "1","2","3","4": 1 1 4 2 1 1 2 3 4 1 ... │ .. ..$ uniqueID: chr [1:1747] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1811 obs. of 6 variables: │ .. ..$ subject : int [1:1811] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1811] -0.184 1.413 1.404 1.205 3.42 ... │ .. ..$ q2 : num [1:1811] 1.44 0.595 0.542 0.993 -0.429 ... │ .. ..$ q3 : num [1:1811] 235 235 235 236 234 ... │ .. ..$ q4 : Factor w/ 2 levels "1","2": 2 2 2 2 2 2 2 1 2 2 ... │ .. ..$ uniqueID: chr [1:1811] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 1187 obs. of 6 variables: │ .. ..$ subject : int [1:1187] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1187] -0.134 1.719 1.224 1.113 0.98 ... │ .. ..$ q2 : num [1:1187] 0.122 1.818 2.662 0.892 0.503 ... │ .. ..$ q3 : num [1:1187] 234 234 234 234 235 ... │ .. ..$ q4 : Factor w/ 4 levels "1","2","3","4": 3 4 4 3 4 1 3 1 2 1 ... │ .. ..$ uniqueID: chr [1:1187] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:374:2'): Clusters are created correctly ───────── Expected output from `str(mc2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 55 55.1 55.9 56.3 53.5 ... │ .. ..$ q2 : num [1:1997] 1.72 1.31 3.62 3.45 1.78 ... │ .. ..$ q3 : num [1:1997] 5001 5001 5003 5002 5000 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 55.3 55 55.7 56.4 55.4 ... │ .. ..$ q2 : num [1:2062] 3.074 2.638 3.154 0.806 3.363 ... │ .. ..$ q3 : num [1:2062] 5002 5001 5002 5001 5003 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 55.4 53.8 54.7 53.8 54.7 ... │ .. ..$ q2 : num [1:2963] 1.89 1.83 3.32 1.71 2.61 ... │ .. ..$ q3 : num [1:2963] 5000 5000 5002 5000 5001 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 54.1 52.3 56.4 53.7 56.5 ... │ .. ..$ q2 : num [1:2321] 1.489 -0.154 4.261 2.471 3.341 ... │ .. ..$ q3 : num [1:2321] 5001 4999 5004 5001 5002 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 54.9 56.1 57.3 56.6 53.4 ... │ .. ..$ q2 : num [1:4082] 1.134 3.018 3.724 3.193 0.765 ... │ .. ..$ q3 : num [1:4082] 5000 5002 5002 5002 4999 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 56.1 54.6 55.6 54.5 55.8 ... │ .. ..$ q2 : num [1:3505] 2.931 0.119 3.418 1.644 1.853 ... │ .. ..$ q3 : num [1:3505] 5002 5000 5002 5001 5001 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 53.8 56.2 56.2 53.3 55.3 ... │ .. ..$ q2 : num [1:3914] 1.78 1.95 4.19 1.36 2.26 ... │ .. ..$ q3 : num [1:3914] 5000 5000 5003 5000 5001 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 54.1 56.9 55.1 55.7 54.9 ... │ .. ..$ q2 : num [1:1155] 2.66 3.44 3.55 3.06 2.83 ... │ .. ..$ q3 : num [1:1155] 5002 5002 5002 5002 5002 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 55.5 56.4 55.5 53.5 55.4 ... │ .. ..$ q2 : num [1:1504] 3.24 3.07 3.77 2.53 0.62 ... │ .. ..$ q3 : num [1:1504] 5002 5001 5002 5001 5000 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 54.6 53.8 54.1 55.8 54.7 ... │ .. ..$ q2 : num [1:3229] 1.86 2.51 1.7 2.94 1.59 ... │ .. ..$ q3 : num [1:3229] 5000 5001 4999 5002 5000 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:375:2'): Clusters are created correctly ───────── Expected output from `str(mc3)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 55 55.1 55.9 56.3 53.5 ... │ .. ..$ q2 : num [1:1997] 1.72 1.31 3.62 3.45 1.78 ... │ .. ..$ q3 : num [1:1997] 5001 5001 5003 5002 5000 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 55.3 55 55.7 56.4 55.4 ... │ .. ..$ q2 : num [1:2062] 3.074 2.638 3.154 0.806 3.363 ... │ .. ..$ q3 : num [1:2062] 5002 5001 5002 5001 5003 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 55.4 53.8 54.7 53.8 54.7 ... │ .. ..$ q2 : num [1:2963] 1.89 1.83 3.32 1.71 2.61 ... │ .. ..$ q3 : num [1:2963] 5000 5000 5002 5000 5001 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 54.1 52.3 56.4 53.7 56.5 ... │ .. ..$ q2 : num [1:2321] 1.489 -0.154 4.261 2.471 3.341 ... │ .. ..$ q3 : num [1:2321] 5001 4999 5004 5001 5002 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 54.9 56.1 57.3 56.6 53.4 ... │ .. ..$ q2 : num [1:4082] 1.134 3.018 3.724 3.193 0.765 ... │ .. ..$ q3 : num [1:4082] 5000 5002 5002 5002 4999 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 56.1 54.6 55.6 54.5 55.8 ... │ .. ..$ q2 : num [1:3505] 2.931 0.119 3.418 1.644 1.853 ... │ .. ..$ q3 : num [1:3505] 5002 5000 5002 5001 5001 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 53.8 56.2 56.2 53.3 55.3 ... │ .. ..$ q2 : num [1:3914] 1.78 1.95 4.19 1.36 2.26 ... │ .. ..$ q3 : num [1:3914] 5000 5000 5003 5000 5001 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 54.1 56.9 55.1 55.7 54.9 ... │ .. ..$ q2 : num [1:1155] 2.66 3.44 3.55 3.06 2.83 ... │ .. ..$ q3 : num [1:1155] 5002 5002 5002 5002 5002 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 55.5 56.4 55.5 53.5 55.4 ... │ .. ..$ q2 : num [1:1504] 3.24 3.07 3.77 2.53 0.62 ... │ .. ..$ q3 : num [1:1504] 5002 5001 5002 5001 5000 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 54.6 53.8 54.1 55.8 54.7 ... │ .. ..$ q2 : num [1:3229] 1.86 2.51 1.7 2.94 1.59 ... │ .. ..$ q3 : num [1:3229] 5000 5001 4999 5002 5000 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:376:2'): Clusters are created correctly ───────── Expected output from `str(mc3_1)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 55 55.1 55.9 56.3 53.5 ... │ .. ..$ q2 : num [1:1997] 1.72 1.31 3.62 3.45 1.78 ... │ .. ..$ q3 : num [1:1997] 5001 5001 5003 5002 5000 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 55.3 55 55.7 56.4 55.4 ... │ .. ..$ q2 : num [1:2062] 3.074 2.638 3.154 0.806 3.363 ... │ .. ..$ q3 : num [1:2062] 5002 5001 5002 5001 5003 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 55.4 53.8 54.7 53.8 54.7 ... │ .. ..$ q2 : num [1:2963] 1.89 1.83 3.32 1.71 2.61 ... │ .. ..$ q3 : num [1:2963] 5000 5000 5002 5000 5001 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 54.1 52.3 56.4 53.7 56.5 ... │ .. ..$ q2 : num [1:2321] 1.489 -0.154 4.261 2.471 3.341 ... │ .. ..$ q3 : num [1:2321] 5001 4999 5004 5001 5002 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 54.9 56.1 57.3 56.6 53.4 ... │ .. ..$ q2 : num [1:4082] 1.134 3.018 3.724 3.193 0.765 ... │ .. ..$ q3 : num [1:4082] 5000 5002 5002 5002 4999 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 56.1 54.6 55.6 54.5 55.8 ... │ .. ..$ q2 : num [1:3505] 2.931 0.119 3.418 1.644 1.853 ... │ .. ..$ q3 : num [1:3505] 5002 5000 5002 5001 5001 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 53.8 56.2 56.2 53.3 55.3 ... │ .. ..$ q2 : num [1:3914] 1.78 1.95 4.19 1.36 2.26 ... │ .. ..$ q3 : num [1:3914] 5000 5000 5003 5000 5001 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 54.1 56.9 55.1 55.7 54.9 ... │ .. ..$ q2 : num [1:1155] 2.66 3.44 3.55 3.06 2.83 ... │ .. ..$ q3 : num [1:1155] 5002 5002 5002 5002 5002 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 55.5 56.4 55.5 53.5 55.4 ... │ .. ..$ q2 : num [1:1504] 3.24 3.07 3.77 2.53 0.62 ... │ .. ..$ q3 : num [1:1504] 5002 5001 5002 5001 5000 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 54.6 53.8 54.1 55.8 54.7 ... │ .. ..$ q2 : num [1:3229] 1.86 2.51 1.7 2.94 1.59 ... │ .. ..$ q3 : num [1:3229] 5000 5001 4999 5002 5000 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:377:2'): Clusters are created correctly ───────── Expected output from `str(mc3_2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 55.9 56.3 53.5 55.4 54.2 ... │ .. ..$ q2 : num [1:1997] 3.62 3.45 1.78 1.01 2.39 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 3 3 1 1 2 2 2 2 3 3 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 54.7 54.7 54.8 55.7 55.4 ... │ .. ..$ q2 : num [1:2062] 2.67 1.7 1.48 2.29 2.13 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 4 1 1 1 1 2 1 3 1 1 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 54.9 53.1 57.4 54.7 55 ... │ .. ..$ q2 : num [1:2963] 3.352 2.037 3.536 0.464 2.547 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 5 1 5 1 3 1 1 2 1 1 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 54.1 57 54.2 56.7 55.7 ... │ .. ..$ q2 : num [1:2321] 2.42 3.08 1.91 2.3 3.29 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 2 2 2 2 2 2 1 2 2 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 56.3 54.7 56.3 55.5 55.3 ... │ .. ..$ q2 : num [1:4082] 2.73 1.14 1.76 3.29 1.94 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 4 1 2 4 2 5 4 2 2 5 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 54.7 54.5 55.2 55.3 55.2 ... │ .. ..$ q2 : num [1:3505] 0.335 1.288 1.1 1.799 3.258 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 1 1 1 1 2 1 2 3 3 2 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 53.6 53.2 55.3 56.8 55.9 ... │ .. ..$ q2 : num [1:3914] 1.29 1.44 1.89 3.93 3.3 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 1 2 2 2 1 1 2 2 2 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 55.2 55.3 55.3 54 52.3 ... │ .. ..$ q2 : num [1:1155] 2.019 2.353 1.582 1.172 0.502 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 2 3 2 1 1 3 1 4 2 2 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 55.7 55 54.5 56.3 54.9 ... │ .. ..$ q2 : num [1:1504] 1.46 1.88 1.63 2.29 2.98 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 1 1 1 4 4 1 1 1 1 1 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 57.2 55.3 53.8 54.3 54.9 ... │ .. ..$ q2 : num [1:3229] 3.735 0.664 2.647 -0.017 2.709 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 3 1 3 1 1 1 1 3 3 3 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:429:2'): Clusters are generated correctly ─────── Expected output from `str(sc1)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 6 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 0.0105 0.0666 0.9106 1.2659 -1.4682 ... │ .. ..$ q2 : num [1:1997] -1.402 -2.39 2.222 1.578 -0.192 ... │ .. ..$ q3 : num [1:1997] 1.118 0.526 8.914 2.018 -1.7 ... │ .. ..$ q4 : num [1:1997] 0.328 -1.504 10.323 6.073 -1.63 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 6 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 1.054 -0.379 -1.289 0.109 0.143 ... │ .. ..$ q2 : num [1:2062] 2.082 -0.712 -0.191 -1.463 0.953 ... │ .. ..$ q3 : num [1:2062] 0.811 1.712 2.774 -3.781 0.584 ... │ .. ..$ q4 : num [1:2062] 3.6511 0.0824 2.2345 -1.3943 3.1744 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 6 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 0.33 -1.26 0.81 0.522 -0.539 ... │ .. ..$ q2 : num [1:2963] -2.406 1.912 -1.155 0.763 0.377 ... │ .. ..$ q3 : num [1:2963] -6.39 1.29 2.82 -2.74 -0.35 ... │ .. ..$ q4 : num [1:2963] -5.834 5.347 2.875 -2.341 -0.481 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 6 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] -2.061 -1.411 -0.499 0.114 -0.447 ... │ .. ..$ q2 : num [1:2321] -1.59 -3.386 2.25 -0.349 -0.374 ... │ .. ..$ q3 : num [1:2321] -0.0147 -4.8569 6.3421 0.9477 1.3019 ... │ .. ..$ q4 : num [1:2321] -4.5894 -8.841 3.6706 2.0888 0.0944 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 6 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] -2.406 -0.554 0.236 -1.063 1.183 ... │ .. ..$ q2 : num [1:4082] -0.728 -1.356 2.226 -1.684 -1.981 ... │ .. ..$ q3 : num [1:4082] -0.572 2.01 5.199 2.349 -1.842 ... │ .. ..$ q4 : num [1:4082] -1.936 -1.387 5.743 -0.212 -5.737 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 6 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 1.624 -0.276 -1.6 -0.101 -0.886 ... │ .. ..$ q2 : num [1:3505] -0.76 0.707 1.163 -2.158 -1.555 ... │ .. ..$ q3 : num [1:3505] 0.484 -3.406 1.113 -0.263 0.331 ... │ .. ..$ q4 : num [1:3505] 0.0681 0.1188 1.9302 -1.8369 -2.4243 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 6 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] -1.3108 0.7543 -0.1535 0.2505 -0.0287 ... │ .. ..$ q2 : num [1:3914] -0.908 -1.602 -1.273 -0.415 1.253 ... │ .. ..$ q3 : num [1:3914] -1.84 -5 -5.8 -1.35 3.37 ... │ .. ..$ q4 : num [1:3914] -3.49 -4.42 -6.36 2.29 3.29 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 6 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 0.183 0.289 -0.807 0.813 -0.477 ... │ .. ..$ q2 : num [1:1155] 2.1419 -0.0944 -0.4173 0.6631 1.2781 ... │ .. ..$ q3 : num [1:1155] 3.149 -2.614 -0.559 -1.038 -0.524 ... │ .. ..$ q4 : num [1:1155] 9.13 -1.49 -1.98 3.5 -1.33 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 6 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] -0.596 -0.214 -0.274 -0.617 -0.904 ... │ .. ..$ q2 : num [1:1504] -1.846 1.701 1.054 -3.294 -0.666 ... │ .. ..$ q3 : num [1:1504] 0.136 5.025 1.705 -4.235 -0.637 ... │ .. ..$ q4 : num [1:1504] -2.78 5.428 4.876 -5.778 0.686 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 6 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 0.1829 0.5697 -0.5134 -0.0783 0.2597 ... │ .. ..$ q2 : num [1:3229] 1.623 1.099 2.342 1.249 -0.175 ... │ .. ..$ q3 : num [1:3229] -0.127 5.057 6.666 1.988 -5.081 ... │ .. ..$ q4 : num [1:3229] 3.12 3.09 9.08 1.97 -1.63 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:430:2'): Clusters are generated correctly ─────── Expected output from `str(sc1_1)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 2389 obs. of 6 variables: │ .. ..$ subject : int [1:2389] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2389] -0.154 -0.452 -0.359 0.603 0.413 ... │ .. ..$ q2 : num [1:2389] -0.932 -1.157 0.135 1.958 -1.162 ... │ .. ..$ q3 : num [1:2389] -3.07 -1.37 1.33 5.68 -4.64 ... │ .. ..$ q4 : num [1:2389] 0.686 -2.028 2.007 7.701 -3.589 ... │ .. ..$ uniqueID: chr [1:2389] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2704 obs. of 6 variables: │ .. ..$ subject : int [1:2704] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2704] 0.1034 -0.9604 0.0184 -0.6618 1.6557 ... │ .. ..$ q2 : num [1:2704] -1.628 1.825 -0.5 0.752 -0.82 ... │ .. ..$ q3 : num [1:2704] -2.77 6.7 -2.09 -1.74 -1.24 ... │ .. ..$ q4 : num [1:2704] -5 4.89 -1.56 -2.59 -1.14 ... │ .. ..$ uniqueID: chr [1:2704] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 3241 obs. of 6 variables: │ .. ..$ subject : int [1:3241] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3241] -0.978 -0.217 0.474 1.761 2.142 ... │ .. ..$ q2 : num [1:3241] -1.264 -0.424 -0.289 1.53 -0.724 ... │ .. ..$ q3 : num [1:3241] -0.651 -0.847 3.522 7.418 2.637 ... │ .. ..$ q4 : num [1:3241] 0.489 -4.587 1.276 8.197 4.333 ... │ .. ..$ uniqueID: chr [1:3241] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2367 obs. of 6 variables: │ .. ..$ subject : int [1:2367] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2367] -0.918 1.103 -0.143 1.094 2.554 ... │ .. ..$ q2 : num [1:2367] -3.806 1.298 0.294 -2.306 2.38 ... │ .. ..$ q3 : num [1:2367] -1.89 4.05 -1.54 2.87 -2.13 ... │ .. ..$ q4 : num [1:2367] -2.92 3.53 -3.25 1.95 1.83 ... │ .. ..$ uniqueID: chr [1:2367] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 2699 obs. of 6 variables: │ .. ..$ subject : int [1:2699] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2699] 0.5694 -1.3049 -0.984 -0.0384 -0.8254 ... │ .. ..$ q2 : num [1:2699] 3.343 0.411 -0.418 1.194 3.421 ... │ .. ..$ q3 : num [1:2699] 4.21 2.04 2.23 -0.12 -1.46 ... │ .. ..$ q4 : num [1:2699] 4.847 -0.495 -3.538 -1.05 2.325 ... │ .. ..$ uniqueID: chr [1:2699] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 4847 obs. of 6 variables: │ .. ..$ subject : int [1:4847] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4847] -1.056 -1.291 0.68 0.563 -1.694 ... │ .. ..$ q2 : num [1:4847] 3.59 -1.8 -1.1 1.76 -2.7 ... │ .. ..$ q3 : num [1:4847] 1.24 -2.38 3.67 2.25 -2.34 ... │ .. ..$ q4 : num [1:4847] 2.088 0.138 4.316 3.484 -7.105 ... │ .. ..$ uniqueID: chr [1:4847] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 1007 obs. of 6 variables: │ .. ..$ subject : int [1:1007] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1007] 0.326 -0.183 1.495 -0.551 0.244 ... │ .. ..$ q2 : num [1:1007] -2.17 1.554 1.127 0.459 -0.572 ... │ .. ..$ q3 : num [1:1007] -4.05 -3.03 3.59 1.77 3.04 ... │ .. ..$ q4 : num [1:1007] -3.666 -0.134 3.037 0.828 1.099 ... │ .. ..$ uniqueID: chr [1:1007] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1412 obs. of 6 variables: │ .. ..$ subject : int [1:1412] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1412] 0.951 -2.381 -1.244 -1.876 1.088 ... │ .. ..$ q2 : num [1:1412] 2.223 0.117 -0.595 -2.547 3.839 ... │ .. ..$ q3 : num [1:1412] 0.467 -4.258 -3.761 -5.152 5.116 ... │ .. ..$ q4 : num [1:1412] 4.71 -5.43 -5.83 -10.21 6.61 ... │ .. ..$ uniqueID: chr [1:1412] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 2025 obs. of 6 variables: │ .. ..$ subject : int [1:2025] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2025] -0.813 0.762 -1.103 2.155 -0.387 ... │ .. ..$ q2 : num [1:2025] 1.125 -1.454 -1.827 2.335 0.532 ... │ .. ..$ q3 : num [1:2025] -1.498 -0.905 -2.987 3.872 -1.546 ... │ .. ..$ q4 : num [1:2025] 2.4 0.6 -3.19 5.39 -2.11 ... │ .. ..$ uniqueID: chr [1:2025] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3245 obs. of 6 variables: │ .. ..$ subject : int [1:3245] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3245] 0.79 0.502 0.474 -0.9 -0.243 ... │ .. ..$ q2 : num [1:3245] 0.0746 -0.3811 0.1811 -3.4451 -0.5975 ... │ .. ..$ q3 : num [1:3245] 4.149 -0.899 1.197 -1.271 -2.046 ... │ .. ..$ q4 : num [1:3245] 4.3836 0.0249 3.4189 -3.8089 -5.3435 ... │ .. ..$ uniqueID: chr [1:3245] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:431:2'): Clusters are generated correctly ─────── Expected output from `str(sc2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 2261 obs. of 5 variables: │ .. ..$ subject : int [1:2261] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2261] -0.02293 -0.16986 -0.06735 0.00766 -0.33712 ... │ .. ..$ q2 : num [1:2261] 0.765 -0.377 0.586 -0.742 0.11 ... │ .. ..$ q3 : num [1:2261] 10.452 -2.356 5.614 -12.559 0.155 ... │ .. ..$ uniqueID: chr [1:2261] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 3086 obs. of 5 variables: │ .. ..$ subject : int [1:3086] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3086] -0.61638 -0.00738 -0.47531 0.88698 0.33488 ... │ .. ..$ q2 : num [1:3086] -0.14 0.58 0.799 1.004 0.148 ... │ .. ..$ q3 : num [1:3086] -1.09 10.59 1.89 19.81 5.07 ... │ .. ..$ uniqueID: chr [1:3086] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 3700 obs. of 5 variables: │ .. ..$ subject : int [1:3700] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3700] -0.2146 0.1631 0.602 -0.4568 0.0474 ... │ .. ..$ q2 : num [1:3700] -0.0185 -0.4983 0.0928 -1.7743 -0.5131 ... │ .. ..$ q3 : num [1:3700] -3.67 1.21 1.28 -21.47 -6.65 ... │ .. ..$ uniqueID: chr [1:3700] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 1192 obs. of 5 variables: │ .. ..$ subject : int [1:1192] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1192] 0.4344 0.0143 0.6701 -0.4685 0.0485 ... │ .. ..$ q2 : num [1:1192] 0.101 -0.463 0.211 -0.631 -0.318 ... │ .. ..$ q3 : num [1:1192] 4.39 -7.83 4.06 -15.86 -4.18 ... │ .. ..$ uniqueID: chr [1:1192] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 1432 obs. of 5 variables: │ .. ..$ subject : int [1:1432] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1432] 0.0744 -0.0403 0.0934 -1.1462 -0.5008 ... │ .. ..$ q2 : num [1:1432] -0.106 -0.31 -0.248 -1.229 -0.668 ... │ .. ..$ q3 : num [1:1432] -4.23 -1.24 -2.83 -13.5 -10.52 ... │ .. ..$ uniqueID: chr [1:1432] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 1390 obs. of 5 variables: │ .. ..$ subject : int [1:1390] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1390] -0.4179 0.2889 0.7044 -0.1226 -0.0726 ... │ .. ..$ q2 : num [1:1390] -0.533 -0.517 0.801 -0.147 -0.197 ... │ .. ..$ q3 : num [1:1390] -10.54 -6.23 12.09 -3.15 -7.6 ... │ .. ..$ uniqueID: chr [1:1390] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 2702 obs. of 5 variables: │ .. ..$ subject : int [1:2702] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2702] -0.0289 -0.595 0.0228 -0.1814 0.3271 ... │ .. ..$ q2 : num [1:2702] 0.22 -0.172 -0.376 -1.869 0.335 ... │ .. ..$ q3 : num [1:2702] 9.18 5.41 -7.72 -30.72 12.72 ... │ .. ..$ uniqueID: chr [1:2702] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 4309 obs. of 5 variables: │ .. ..$ subject : int [1:4309] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4309] -0.123 0.575 -0.127 0.66 0.358 ... │ .. ..$ q2 : num [1:4309] -0.313 0.77 1.958 0.805 0.41 ... │ .. ..$ q3 : num [1:4309] -2.24 10.92 21.16 5.88 9.8 ... │ .. ..$ uniqueID: chr [1:4309] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 3093 obs. of 5 variables: │ .. ..$ subject : int [1:3093] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3093] -0.2914 0.3784 -0.0711 -0.3671 -0.4449 ... │ .. ..$ q2 : num [1:3093] -0.104 0.423 -0.71 0.401 -1.382 ... │ .. ..$ q3 : num [1:3093] -8.5 3.81 -10.3 3.55 -12.54 ... │ .. ..$ uniqueID: chr [1:3093] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3186 obs. of 5 variables: │ .. ..$ subject : int [1:3186] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3186] -0.2862 -0.6584 -0.9876 0.0185 0.8968 ... │ .. ..$ q2 : num [1:3186] -1.0976 -0.9623 -0.0879 0.5922 -0.0773 ... │ .. ..$ q3 : num [1:3186] -14.8926 -11.3558 -4.7039 7.9896 -0.0823 ... │ .. ..$ uniqueID: chr [1:3186] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:432:2'): Clusters are generated correctly ─────── Expected output from `str(sc3)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1457 obs. of 5 variables: │ .. ..$ subject : int [1:1457] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1457] -0.1327 0.3334 -0.0748 -0.0431 -0.2015 ... │ .. ..$ q2 : num [1:1457] -0.539 0.192 0.237 -0.331 -0.397 ... │ .. ..$ q3 : num [1:1457] 0.497 14.28 -2.557 1.527 -4.383 ... │ .. ..$ uniqueID: chr [1:1457] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2405 obs. of 5 variables: │ .. ..$ subject : int [1:2405] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2405] 0.23 0.312 -0.237 -0.284 0.136 ... │ .. ..$ q2 : num [1:2405] 0.593 1.028 -0.886 -0.313 -0.18 ... │ .. ..$ q3 : num [1:2405] 4.11 8.11 -4.01 -6.2 3.04 ... │ .. ..$ uniqueID: chr [1:2405] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 3985 obs. of 5 variables: │ .. ..$ subject : int [1:3985] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3985] 0.04 0.391 -0.174 0.168 0.497 ... │ .. ..$ q2 : num [1:3985] -0.491 0.21 -0.171 0.448 1.008 ... │ .. ..$ q3 : num [1:3985] -2.46 15.73 -7.35 0.96 10.44 ... │ .. ..$ uniqueID: chr [1:3985] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 3890 obs. of 5 variables: │ .. ..$ subject : int [1:3890] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3890] -0.2167 -0.0603 -0.0474 -0.0725 0.1215 ... │ .. ..$ q2 : num [1:3890] -0.2154 -0.1789 -0.1096 -0.5885 -0.0471 ... │ .. ..$ q3 : num [1:3890] -5.062 2.461 -1.497 -5.626 -0.431 ... │ .. ..$ uniqueID: chr [1:3890] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 2815 obs. of 5 variables: │ .. ..$ subject : int [1:2815] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2815] 0.40616 -0.38211 -0.00598 0.10064 0.38295 ... │ .. ..$ q2 : num [1:2815] 0.5578 -0.1908 -0.0305 0.207 0.7062 ... │ .. ..$ q3 : num [1:2815] 9.743 -9.742 0.309 -1.395 7.402 ... │ .. ..$ uniqueID: chr [1:2815] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 1340 obs. of 5 variables: │ .. ..$ subject : int [1:1340] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1340] -0.2329 0.221 0.0957 0.1022 0.0197 ... │ .. ..$ q2 : num [1:1340] -0.264 0.758 -0.141 -0.217 -0.64 ... │ .. ..$ q3 : num [1:1340] -8.177 0.13 2.471 0.241 1.42 ... │ .. ..$ uniqueID: chr [1:1340] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 1758 obs. of 5 variables: │ .. ..$ subject : int [1:1758] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1758] 0.457 -0.256 -0.213 -0.141 0.191 ... │ .. ..$ q2 : num [1:1758] 0.9346 0.2959 -1.2364 -0.0373 0.7268 ... │ .. ..$ q3 : num [1:1758] 1.172 -5.918 0.598 -3.64 2.877 ... │ .. ..$ uniqueID: chr [1:1758] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1356 obs. of 5 variables: │ .. ..$ subject : int [1:1356] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1356] 0.2883 0.1262 0.0893 0.2044 -0.2112 ... │ .. ..$ q2 : num [1:1356] 0.5691 0.3387 -0.7824 0.0342 -0.3465 ... │ .. ..$ q3 : num [1:1356] 2.86 4.2 7.14 3.89 -6.26 ... │ .. ..$ uniqueID: chr [1:1356] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 3226 obs. of 5 variables: │ .. ..$ subject : int [1:3226] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3226] -0.223 0.183 -0.256 0.366 -0.219 ... │ .. ..$ q2 : num [1:3226] -0.46 0.595 -0.162 -0.11 -0.324 ... │ .. ..$ q3 : num [1:3226] -2.22 1.77 -7.02 3.26 -5.21 ... │ .. ..$ uniqueID: chr [1:3226] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 2698 obs. of 5 variables: │ .. ..$ subject : int [1:2698] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2698] 0.1267 0.0388 -0.0868 0.0421 0.2113 ... │ .. ..$ q2 : num [1:2698] 0.2668 -0.5171 -0.7511 -0.0788 0.3773 ... │ .. ..$ q3 : num [1:2698] 3.85 4.84 -1.17 5.29 4.82 ... │ .. ..$ uniqueID: chr [1:2698] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:433:2'): Clusters are generated correctly ─────── Expected output from `str(sc4)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 4 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 0.0733 0.4662 6.3742 8.8611 -10.2771 ... │ .. ..$ q2 : num [1:1997] -0.89 -1.49 1.939 1.729 -0.958 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 4 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 5.755 5.896 18.901 0.395 -1.805 ... │ .. ..$ q2 : num [1:2062] 2.161 -0.493 3.467 -0.398 0.833 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 4 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 1.5761 4.1529 3.8642 0.0149 -6.5328 ... │ .. ..$ q2 : num [1:2963] 0.616 0.623 0.443 0.85 -1.39 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 4 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] -17.088 0.476 -4.064 -1.947 -1.183 ... │ .. ..$ q2 : num [1:2321] -1.48 -1.035 -1.112 -0.669 -0.736 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 4 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] -0.517 0.185 8.303 2.834 -2.732 ... │ .. ..$ q2 : num [1:4082] -1.1536 0.1955 0.2842 -0.1673 0.0587 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 4 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] -2.53 -1.16 -1.69 -7.85 4.11 ... │ .. ..$ q2 : num [1:3505] -1.489 -0.601 -0.542 -0.429 2.587 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 4 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] -5.12 -18.55 8.18 16.43 1.7 ... │ .. ..$ q2 : num [1:3914] -1.32 -2.76 1.42 3.76 -1.38 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 4 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 1.247 -0.907 -9.794 12.388 -5.378 ... │ .. ..$ q2 : num [1:1155] 0.156 2.686 -1.551 2.187 -0.657 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 4 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] -4.77 -9.73 -3.42 -5.6 3.18 ... │ .. ..$ q2 : num [1:1504] 0.389 0.197 0.3 -0.648 0.615 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 4 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 10.869 -9.323 -8.141 -2.833 -0.459 ... │ .. ..$ q2 : num [1:3229] 1.6322 1.4901 -0.0941 -0.0664 -0.4253 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:434:2'): Clusters are generated correctly ─────── Expected output from `str(sc1_2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 4011 obs. of 6 variables: │ .. ..$ subject : int [1:4011] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4011] 0.1543 0.1709 1.326 0.7009 -0.0596 ... │ .. ..$ q2 : num [1:4011] -0.6414 2.1908 1.7656 -0.7639 -0.0716 ... │ .. ..$ q3 : num [1:4011] 3.437 3.744 2.219 -2.919 -0.799 ... │ .. ..$ q4 : num [1:4011] -0.947 5.847 3.5 -0.675 2.162 ... │ .. ..$ uniqueID: chr [1:4011] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 1062 obs. of 6 variables: │ .. ..$ subject : int [1:1062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1062] 1.82 -1.964 0.676 -0.307 -1.491 ... │ .. ..$ q2 : num [1:1062] 3.2921 -2.118 -0.0111 -0.1012 -2.15 ... │ .. ..$ q3 : num [1:1062] 3.6794 -4.5968 0.0265 -0.5312 -1.9901 ... │ .. ..$ q4 : num [1:1062] 6.707 -3.685 -1.085 0.603 -2.703 ... │ .. ..$ uniqueID: chr [1:1062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 3095 obs. of 6 variables: │ .. ..$ subject : int [1:3095] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3095] -0.0345 -0.3032 1.9437 -2.1356 0.7365 ... │ .. ..$ q2 : num [1:3095] 1.15 -1.67 1.47 -2.88 2.72 ... │ .. ..$ q3 : num [1:3095] -1.25 -3.48 -1.61 -1.31 7.18 ... │ .. ..$ q4 : num [1:3095] 0.298 -1.172 2.822 -2.662 6.935 ... │ .. ..$ uniqueID: chr [1:3095] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 1079 obs. of 6 variables: │ .. ..$ subject : int [1:1079] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1079] 0.512 -2.515 -0.812 1.859 0.993 ... │ .. ..$ q2 : num [1:1079] 0.549 -2.907 -3.045 -0.385 0.629 ... │ .. ..$ q3 : num [1:1079] -0.3015 -3.3026 -5.5105 2.5023 0.0856 ... │ .. ..$ q4 : num [1:1079] 2.033 -5.661 -9.421 0.977 0.957 ... │ .. ..$ uniqueID: chr [1:1079] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4069 obs. of 6 variables: │ .. ..$ subject : int [1:4069] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4069] 1.228 0.943 -0.282 -0.642 1.525 ... │ .. ..$ q2 : num [1:4069] -1.87809 0.91924 -1.06653 0.24484 -0.00997 ... │ .. ..$ q3 : num [1:4069] 3.8955 0.017 -0.0108 3.4562 3.8795 ... │ .. ..$ q4 : num [1:4069] 4.443 0.596 -3.753 -0.767 2.876 ... │ .. ..$ uniqueID: chr [1:4069] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 1265 obs. of 6 variables: │ .. ..$ subject : int [1:1265] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1265] 0.3855 0.082 -0.0743 0.5645 1.2545 ... │ .. ..$ q2 : num [1:1265] 2.4458 2.7692 -2.2542 0.0955 -1.5667 ... │ .. ..$ q3 : num [1:1265] -0.7541 5.341 -3.6277 0.0609 1.4506 ... │ .. ..$ q4 : num [1:1265] 3.679 6.701 -1.722 0.735 0.228 ... │ .. ..$ uniqueID: chr [1:1265] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 2015 obs. of 6 variables: │ .. ..$ subject : int [1:2015] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2015] 0.304 -1.257 1.038 0.626 1.002 ... │ .. ..$ q2 : num [1:2015] 0.679 -0.314 -1.148 -1.809 0.712 ... │ .. ..$ q3 : num [1:2015] -2.72 -1.69 -2.41 -2.45 -2.62 ... │ .. ..$ q4 : num [1:2015] -2.993 -4.72 -3.891 -3.135 -0.575 ... │ .. ..$ uniqueID: chr [1:2015] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1195 obs. of 6 variables: │ .. ..$ subject : int [1:1195] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1195] -1.518 -1.317 0.987 -0.634 -1.698 ... │ .. ..$ q2 : num [1:1195] -0.2829 0.00823 -0.5957 0.6461 1.44882 ... │ .. ..$ q3 : num [1:1195] -1.632 -2.429 1.023 0.448 0.244 ... │ .. ..$ q4 : num [1:1195] -0.775 -3.422 2.614 -0.583 0.207 ... │ .. ..$ uniqueID: chr [1:1195] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 2652 obs. of 6 variables: │ .. ..$ subject : int [1:2652] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2652] -2.106 -0.319 0.864 -1.481 -0.298 ... │ .. ..$ q2 : num [1:2652] 2.651 -0.542 1.259 -2.234 -0.683 ... │ .. ..$ q3 : num [1:2652] 1.48 -7.09 2.69 -1.28 -2.18 ... │ .. ..$ q4 : num [1:2652] 3.32 -4.09 5.36 -3.75 -4.23 ... │ .. ..$ uniqueID: chr [1:2652] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 2722 obs. of 6 variables: │ .. ..$ subject : int [1:2722] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2722] -1.387 1.013 1.694 0.874 0.41 ... │ .. ..$ q2 : num [1:2722] -5.3625 2.6597 -0.0685 1.0822 -0.4126 ... │ .. ..$ q3 : num [1:2722] -6.08 -4.2 3.53 3.69 1.13 ... │ .. ..$ q4 : num [1:2722] -11.059 -0.609 2.87 4.78 0.873 ... │ .. ..$ uniqueID: chr [1:2722] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:435:2'): Clusters are generated correctly ─────── Expected output from `str(sc2_2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 0.455 0.633 -0.734 0.218 -0.396 ... │ .. ..$ q2 : num [1:1997] 0.8934 0.7745 -0.3915 -0.9287 0.0333 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 3 3 1 1 2 2 2 2 3 3 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] -0.163 -0.164 -0.101 0.354 0.186 ... │ .. ..$ q2 : num [1:2062] 0.228 -0.4482 -0.6006 -0.0322 -0.1472 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 4 1 1 1 1 2 1 3 1 1 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] -0.05787 -0.9732 1.22102 -0.1487 0.00946 ... │ .. ..$ q2 : num [1:2963] 0.708 -0.212 0.837 -1.313 0.145 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 5 1 5 1 3 1 1 2 1 1 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] -0.438 0.983 -0.379 0.834 0.347 ... │ .. ..$ q2 : num [1:2321] 0.0574 0.5167 -0.2983 -0.0248 0.6671 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 2 2 2 2 2 2 1 2 2 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 0.651 -0.131 0.653 0.264 0.126 ... │ .. ..$ q2 : num [1:4082] 0.274 -0.842 -0.407 0.666 -0.283 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 4 1 2 4 2 5 4 2 2 5 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] -0.1289 -0.2399 0.0932 0.1471 0.1091 ... │ .. ..$ q2 : num [1:3505] -1.404 -0.737 -0.868 -0.379 0.642 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 1 1 1 1 2 1 2 3 3 2 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] -0.702 -0.918 0.162 0.88 0.436 ... │ .. ..$ q2 : num [1:3914] -0.733 -0.629 -0.317 1.112 0.671 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 1 2 2 2 1 1 2 2 2 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 0.0971 0.129 0.1509 -0.4812 -1.3566 ... │ .. ..$ q2 : num [1:1155] -0.22464 0.00935 -0.53065 -0.81782 -1.28683 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 2 3 2 1 1 3 1 4 2 2 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 0.3364 -0.0198 -0.2498 0.6274 -0.0494 ... │ .. ..$ q2 : num [1:1504] -0.6162 -0.3214 -0.498 -0.0363 0.447 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 1 1 1 4 4 1 1 1 1 1 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 1.0838 0.1441 -0.589 -0.3659 -0.0683 ... │ .. ..$ q2 : num [1:3229] 0.976 -1.173 0.215 -1.65 0.259 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 3 1 3 1 1 1 1 3 3 3 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:436:2'): Clusters are generated correctly ─────── Expected output from `str(sc3_2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 0.00209 0.01332 0.18212 0.25318 -0.29363 ... │ .. ..$ q2 : num [1:1997] -0.237 -0.397 0.517 0.461 -0.256 ... │ .. ..$ q3 : num [1:1997] 3.02 3.59 11.46 4.74 -6.58 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 0.06217 -0.00796 0.14834 0.27368 0.07411 ... │ .. ..$ q2 : num [1:2062] 0.292 0.114 0.334 -0.555 0.404 ... │ .. ..$ q3 : num [1:2062] 4.65 -5.9 3.16 10.95 5.71 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 0.073 -0.234 -0.064 -0.237 -0.057 ... │ .. ..$ q2 : num [1:2963] -0.1628 -0.2276 0.3705 -0.2735 0.0946 ... │ .. ..$ q3 : num [1:2963] -4.476 -5.897 -3 -9.861 0.493 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] -0.181 -0.531 0.285 -0.254 0.298 ... │ .. ..$ q2 : num [1:2321] -0.3526 -1.034 0.7796 0.0159 0.4266 ... │ .. ..$ q3 : num [1:2321] 1.63 -9.18 11.52 -4.55 1.1 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] -0.0212 0.212 0.4666 0.3117 -0.3244 ... │ .. ..$ q2 : num [1:4082] -0.468 0.29 0.597 0.371 -0.652 ... │ .. ..$ q3 : num [1:4082] 1.33 2.21 4.48 7.84 -7.33 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 0.2125 -0.0751 0.1132 -0.1027 0.1589 ... │ .. ..$ q2 : num [1:3505] 0.257 -0.867 0.431 -0.282 -0.166 ... │ .. ..$ q3 : num [1:3505] 5.412 3.871 -0.769 0.915 1.572 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] -0.242 0.232 0.238 -0.344 0.06 ... │ .. ..$ q2 : num [1:3914] -0.2498 -0.1205 0.7442 -0.4252 -0.0244 ... │ .. ..$ q3 : num [1:3914] -7.379 -0.757 3.652 -3.544 2.284 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] -0.1828 0.3752 0.0244 0.1438 -0.0111 ... │ .. ..$ q2 : num [1:1155] 0.0985 0.4752 0.4703 0.2962 0.1856 ... │ .. ..$ q3 : num [1:1155] -0.0322 2.9944 -0.3458 2.2507 6.1238 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 0.1028 0.2819 0.0918 -0.2995 0.0776 ... │ .. ..$ q2 : num [1:1504] 0.3601 0.3188 0.5654 0.0309 -0.6529 ... │ .. ..$ q3 : num [1:1504] 0.0326 0.5979 -0.6348 -2.9928 3.4839 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] -0.0835 -0.2474 -0.186 0.1552 -0.0675 ... │ .. ..$ q2 : num [1:3229] -0.196 0.033 -0.272 0.251 -0.299 ... │ .. ..$ q3 : num [1:3229] -3.77 -1.97 -9.81 3.41 -1.36 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:437:2'): Clusters are generated correctly ─────── Expected output from `str(sc4_2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 4 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 0.0733 0.4662 6.3742 8.8611 -10.2771 ... │ .. ..$ q2 : num [1:1997] -0.89 -1.49 1.939 1.729 -0.958 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 4 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 5.755 5.896 18.901 0.395 -1.805 ... │ .. ..$ q2 : num [1:2062] 2.161 -0.493 3.467 -0.398 0.833 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 4 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 1.5761 4.1529 3.8642 0.0149 -6.5328 ... │ .. ..$ q2 : num [1:2963] 0.616 0.623 0.443 0.85 -1.39 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 4 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] -17.088 0.476 -4.064 -1.947 -1.183 ... │ .. ..$ q2 : num [1:2321] -1.48 -1.035 -1.112 -0.669 -0.736 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 4 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] -0.517 0.185 8.303 2.834 -2.732 ... │ .. ..$ q2 : num [1:4082] -1.1536 0.1955 0.2842 -0.1673 0.0587 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 4 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] -2.53 -1.16 -1.69 -7.85 4.11 ... │ .. ..$ q2 : num [1:3505] -1.489 -0.601 -0.542 -0.429 2.587 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 4 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] -5.12 -18.55 8.18 16.43 1.7 ... │ .. ..$ q2 : num [1:3914] -1.32 -2.76 1.42 3.76 -1.38 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 4 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 1.247 -0.907 -9.794 12.388 -5.378 ... │ .. ..$ q2 : num [1:1155] 0.156 2.686 -1.551 2.187 -0.657 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 4 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] -4.77 -9.73 -3.42 -5.6 3.18 ... │ .. ..$ q2 : num [1:1504] 0.389 0.197 0.3 -0.648 0.615 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 4 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 10.869 -9.323 -8.141 -2.833 -0.459 ... │ .. ..$ q2 : num [1:3229] 1.6322 1.4901 -0.0941 -0.0664 -0.4253 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:510:2'): Clusters are generated correctly ─────── Expected output from `str(csc1)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 6 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 10.01 10.07 10.91 11.27 8.53 ... │ .. ..$ q2 : num [1:1997] 18.6 17.6 22.2 21.6 19.8 ... │ .. ..$ q3 : num [1:1997] 31.1 30.5 38.9 32 28.3 ... │ .. ..$ q4 : num [1:1997] 40.3 38.5 50.3 46.1 38.4 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 6 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 11.05 9.62 8.71 10.11 10.14 ... │ .. ..$ q2 : num [1:2062] 22.1 19.3 19.8 18.5 21 ... │ .. ..$ q3 : num [1:2062] 30.8 31.7 32.8 26.2 30.6 ... │ .. ..$ q4 : num [1:2062] 43.7 40.1 42.2 38.6 43.2 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 6 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 10.33 8.74 10.81 10.52 9.46 ... │ .. ..$ q2 : num [1:2963] 17.6 21.9 18.8 20.8 20.4 ... │ .. ..$ q3 : num [1:2963] 23.6 31.3 32.8 27.3 29.6 ... │ .. ..$ q4 : num [1:2963] 34.2 45.3 42.9 37.7 39.5 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 6 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 7.94 8.59 9.5 10.11 9.55 ... │ .. ..$ q2 : num [1:2321] 18.4 16.6 22.3 19.7 19.6 ... │ .. ..$ q3 : num [1:2321] 30 25.1 36.3 30.9 31.3 ... │ .. ..$ q4 : num [1:2321] 35.4 31.2 43.7 42.1 40.1 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 6 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 7.59 9.45 10.24 8.94 11.18 ... │ .. ..$ q2 : num [1:4082] 19.3 18.6 22.2 18.3 18 ... │ .. ..$ q3 : num [1:4082] 29.4 32 35.2 32.3 28.2 ... │ .. ..$ q4 : num [1:4082] 38.1 38.6 45.7 39.8 34.3 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 6 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 11.62 9.72 8.4 9.9 9.11 ... │ .. ..$ q2 : num [1:3505] 19.2 20.7 21.2 17.8 18.4 ... │ .. ..$ q3 : num [1:3505] 30.5 26.6 31.1 29.7 30.3 ... │ .. ..$ q4 : num [1:3505] 40.1 40.1 41.9 38.2 37.6 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 6 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 8.69 10.75 9.85 10.25 9.97 ... │ .. ..$ q2 : num [1:3914] 19.1 18.4 18.7 19.6 21.3 ... │ .. ..$ q3 : num [1:3914] 28.2 25 24.2 28.6 33.4 ... │ .. ..$ q4 : num [1:3914] 36.5 35.6 33.6 42.3 43.3 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 6 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 10.18 10.29 9.19 10.81 9.52 ... │ .. ..$ q2 : num [1:1155] 22.1 19.9 19.6 20.7 21.3 ... │ .. ..$ q3 : num [1:1155] 33.1 27.4 29.4 29 29.5 ... │ .. ..$ q4 : num [1:1155] 49.1 38.5 38 43.5 38.7 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 6 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 9.4 9.79 9.73 9.38 9.1 ... │ .. ..$ q2 : num [1:1504] 18.2 21.7 21.1 16.7 19.3 ... │ .. ..$ q3 : num [1:1504] 30.1 35 31.7 25.8 29.4 ... │ .. ..$ q4 : num [1:1504] 37.2 45.4 44.9 34.2 40.7 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 6 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 10.18 10.57 9.49 9.92 10.26 ... │ .. ..$ q2 : num [1:3229] 21.6 21.1 22.3 21.2 19.8 ... │ .. ..$ q3 : num [1:3229] 29.9 35.1 36.7 32 24.9 ... │ .. ..$ q4 : num [1:3229] 43.1 43.1 49.1 42 38.4 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:511:2'): Clusters are generated correctly ─────── Expected output from `str(csc2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 95.6 101.3 97.6 99.9 98.4 ... │ .. ..$ q2 : Factor w/ 3 levels "1","2","3": 1 1 3 2 3 3 3 3 3 3 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 1 2 3 3 3 3 5 5 5 4 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 99.4 102.1 101.1 101.9 100.2 ... │ .. ..$ q2 : Factor w/ 5 levels "1","2","3","4",..: 1 3 3 2 1 5 1 1 5 1 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 1 1 1 1 1 2 1 1 2 1 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 99.1 100.1 95.6 98.4 98.3 ... │ .. ..$ q2 : Factor w/ 5 levels "1","2","3","4",..: 1 4 2 3 4 1 1 3 5 5 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 1 2 1 2 2 1 1 1 2 2 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 97.9 101.9 97.8 98 102.8 ... │ .. ..$ q2 : Factor w/ 2 levels "1","2": 2 2 1 2 2 2 2 2 2 2 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 2 4 1 3 3 2 3 3 2 2 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 101.9 102.3 100.6 98 95.2 ... │ .. ..$ q2 : Factor w/ 5 levels "1","2","3","4",..: 1 3 2 2 1 1 1 5 2 3 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 1 2 2 2 1 1 1 3 2 2 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 98 92.7 105.4 100.6 95.7 ... │ .. ..$ q2 : Factor w/ 5 levels "1","2","3","4",..: 3 1 4 4 1 3 5 5 5 4 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 2 1 4 1 1 1 3 4 4 3 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 99.7 100.8 92.4 103.2 99.3 ... │ .. ..$ q2 : Factor w/ 2 levels "1","2": 1 1 1 1 1 1 2 1 1 1 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 2 2 1 3 3 3 3 3 1 1 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 107.8 101.6 100.6 97.8 103 ... │ .. ..$ q2 : Factor w/ 4 levels "1","2","3","4": 4 4 1 4 4 4 1 1 2 4 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 5 5 1 5 5 5 1 1 1 5 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 95.8 102.9 100.8 99.5 99.4 ... │ .. ..$ q2 : Factor w/ 2 levels "1","2": 1 2 2 1 2 2 1 2 2 1 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 2 2 1 2 2 1 2 2 1 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 102.1 102 95.1 100.1 94.7 ... │ .. ..$ q2 : Factor w/ 3 levels "1","2","3": 3 3 2 3 3 3 1 2 3 3 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 2 1 2 1 1 1 1 1 2 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:512:2'): Clusters are generated correctly ─────── Expected output from `str(csc3)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 102.7 103.8 95.6 101.3 97.6 ... │ .. ..$ q2 : num [1:1997] 155 155 147 145 150 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 3 3 1 3 1 3 1 1 3 3 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 99 99 99.4 102.1 101.1 ... │ .. ..$ q2 : num [1:2062] 151 147 147 150 149 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 3 1 2 2 1 2 3 1 1 1 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 99.7 94.2 107.3 99.1 100.1 ... │ .. ..$ q2 : num [1:2963] 154 148 155 143 151 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 5 1 5 4 3 1 1 1 1 5 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 97.4 105.9 97.7 105 102.1 ... │ .. ..$ q2 : num [1:2321] 150 153 148 150 154 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 2 2 2 2 2 2 2 2 2 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 103.9 99.2 103.9 101.6 100.8 ... │ .. ..$ q2 : num [1:4082] 152 145 148 154 149 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 5 2 4 4 4 5 2 2 4 2 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 99.2 98.6 100.6 100.9 100.7 ... │ .. ..$ q2 : num [1:3505] 142 146 145 148 154 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 2 1 2 2 1 2 3 3 3 1 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 95.8 94.5 101 105.3 102.6 ... │ .. ..$ q2 : num [1:3914] 146 146 148 157 154 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 1 2 2 2 1 1 2 2 2 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 100.6 100.8 100.9 97.1 91.9 ... │ .. ..$ q2 : num [1:1155] 149 150 147 145 142 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 2 3 2 1 1 4 1 4 1 3 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 102 99.9 98.5 103.8 99.7 ... │ .. ..$ q2 : num [1:1504] 147 148 147 150 152 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 1 3 1 5 2 2 1 3 1 1 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 106.5 100.9 96.5 97.8 99.6 ... │ .. ..$ q2 : num [1:3229] 156 144 151 141 151 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 3 3 1 3 1 1 1 1 3 3 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:513:2'): Clusters are generated correctly ─────── Expected output from `str(csc4)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 4 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 210 210 212 213 207 ... │ .. ..$ q2 : num [1:1997] 307 305 316 316 307 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 4 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 212 212 215 210 209 ... │ .. ..$ q2 : num [1:2062] 317 308 322 309 313 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 4 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 210 211 211 210 208 ... │ .. ..$ q2 : num [1:2963] 312 312 311 313 305 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 4 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 205 210 209 209 210 ... │ .. ..$ q2 : num [1:2321] 305 307 306 308 308 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 4 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 210 210 212 211 209 ... │ .. ..$ q2 : num [1:4082] 306 311 311 309 310 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 4 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 209 210 210 208 211 ... │ .. ..$ q2 : num [1:3505] 305 308 308 309 319 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 4 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 209 205 212 215 210 ... │ .. ..$ q2 : num [1:3914] 306 301 315 323 305 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 4 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 210 210 207 214 208 ... │ .. ..$ q2 : num [1:1155] 311 319 305 317 308 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 4 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 209 207 209 208 211 ... │ .. ..$ q2 : num [1:1504] 311 311 311 308 312 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 4 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 213 207 208 209 210 ... │ .. ..$ q2 : num [1:3229] 315 315 310 310 309 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" [ FAIL 23 | WARN 1894 | SKIP 0 | PASS 498 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 2.1.6
Check: tests
Result: ERROR Running ‘testthat.R’ [124s/156s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(lsasim) This is lsasim 2.1.6 > > test_check("lsasim") Saving _problems/test.HugoReport-368.R Saving _problems/test.HugoReport-369.R Saving _problems/test.HugoReport-370.R Saving _problems/test.HugoReport-371.R Saving _problems/test.HugoReport-372.R Saving _problems/test.HugoReport-373.R Saving _problems/test.HugoReport-374.R Saving _problems/test.HugoReport-375.R Saving _problems/test.HugoReport-376.R Saving _problems/test.HugoReport-377.R Saving _problems/test.HugoReport-429.R Saving _problems/test.HugoReport-430.R Saving _problems/test.HugoReport-431.R Saving _problems/test.HugoReport-432.R Saving _problems/test.HugoReport-433.R Saving _problems/test.HugoReport-434.R Saving _problems/test.HugoReport-435.R Saving _problems/test.HugoReport-436.R Saving _problems/test.HugoReport-437.R Saving _problems/test.HugoReport-510.R Saving _problems/test.HugoReport-511.R Saving _problems/test.HugoReport-512.R Saving _problems/test.HugoReport-513.R [ FAIL 23 | WARN 1894 | SKIP 0 | PASS 498 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test.HugoReport.R:368:2'): Clusters are created correctly ───────── Expected output from `str(mc1)` to match regexp "school:List of 3". Actual output: ✖ │ List of 1 │ $ school: List of 3 │ ..$ : 'data.frame': 6 obs. of 6 variables: │ .. ..$ subject : int [1:6] 1 2 3 4 5 6 │ .. ..$ q1 : num [1:6] 0.296 0.334 0.384 -1.143 0.277 ... │ .. ..$ q2 : num [1:6] 0.329 0.663 1.189 2.084 0.546 ... │ .. ..$ q3 : num [1:6] 0.73 1.19 -0.86 0.835 -0.608 ... │ .. ..$ q4 : num [1:6] 234 235 235 236 234 ... │ .. ..$ uniqueID: chr [1:6] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 6 obs. of 6 variables: │ .. ..$ subject : int [1:6] 1 2 3 4 5 6 │ .. ..$ q1 : num [1:6] 0.437 -0.753 -0.308 -0.443 -0.237 ... │ .. ..$ q2 : num [1:6] -0.387486 0.3857 1.863753 -0.000799 1.502745 ... │ .. ..$ q3 : num [1:6] -0.7631 -0.0273 -1.2959 -0.1565 -0.7088 ... │ .. ..$ q4 : num [1:6] 233 234 234 233 233 ... │ .. ..$ uniqueID: chr [1:6] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 6 obs. of 6 variables: │ .. ..$ subject : int [1:6] 1 2 3 4 5 6 │ .. ..$ q1 : num [1:6] 0.6975 -0.0655 -0.3922 0.7106 2.3096 ... │ .. ..$ q2 : num [1:6] 1.828 -0.393 0.406 0.323 1.76 ... │ .. ..$ q3 : num [1:6] -0.243 -0.776 -0.271 0.256 0.202 ... │ .. ..$ q4 : num [1:6] 234 233 233 234 235 ... │ .. ..$ uniqueID: chr [1:6] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:369:2'): Clusters are created correctly ───────── Expected output from `str(mc4)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1655 obs. of 6 variables: │ .. ..$ subject : int [1:1655] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1655] -0.122 0.404 -1.977 -0.115 0.575 ... │ .. ..$ q2 : num [1:1655] 1.108 -0.862 1.896 -0.982 1.286 ... │ .. ..$ q3 : num [1:1655] 0.127 -0.745 -0.962 0.432 1.3 ... │ .. ..$ q4 : num [1:1655] 233 233 233 234 235 ... │ .. ..$ uniqueID: chr [1:1655] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 1029 obs. of 6 variables: │ .. ..$ subject : int [1:1029] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1029] -0.3377 -0.0797 1.2032 0.558 1.5885 ... │ .. ..$ q2 : num [1:1029] -0.8002 -0.853 0.352 -0.0594 0.7628 ... │ .. ..$ q3 : num [1:1029] -0.4223 -0.0407 -0.5249 -0.9709 1.8899 ... │ .. ..$ q4 : num [1:1029] 233 234 234 233 235 ... │ .. ..$ uniqueID: chr [1:1029] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 3027 obs. of 6 variables: │ .. ..$ subject : int [1:3027] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3027] 1.56 -0.602 -0.917 -0.889 1.752 ... │ .. ..$ q2 : num [1:3027] 1.145 2.139 -0.908 -1.348 1.96 ... │ .. ..$ q3 : num [1:3027] 0.843 1.119 -1.777 0.434 0.308 ... │ .. ..$ q4 : num [1:3027] 234 235 232 233 235 ... │ .. ..$ uniqueID: chr [1:3027] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2374 obs. of 6 variables: │ .. ..$ subject : int [1:2374] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2374] 0.265 0.202 1.958 -1.078 -0.843 ... │ .. ..$ q2 : num [1:2374] 0.652 0.589 0.717 1.024 1.41 ... │ .. ..$ q3 : num [1:2374] -1.8721 -0.1685 -0.0523 -0.0146 0.2764 ... │ .. ..$ q4 : num [1:2374] 233 233 235 235 234 ... │ .. ..$ uniqueID: chr [1:2374] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 2554 obs. of 6 variables: │ .. ..$ subject : int [1:2554] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2554] 2.004 0.853 1.042 -0.811 0.274 ... │ .. ..$ q2 : num [1:2554] 2.9273 -0.0841 1.4666 0.8154 1.2517 ... │ .. ..$ q3 : num [1:2554] 2.067 -0.278 0.257 -0.236 0.583 ... │ .. ..$ q4 : num [1:2554] 236 234 235 234 235 ... │ .. ..$ uniqueID: chr [1:2554] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 1811 obs. of 6 variables: │ .. ..$ subject : int [1:1811] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1811] -0.0363 -0.2778 0.4179 0.9536 1.2724 ... │ .. ..$ q2 : num [1:1811] -0.806 1.122 0.583 0.706 1.108 ... │ .. ..$ q3 : num [1:1811] -0.863 0.478 -0.347 -0.751 0.071 ... │ .. ..$ q4 : num [1:1811] 233 234 234 234 234 ... │ .. ..$ uniqueID: chr [1:1811] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 4661 obs. of 6 variables: │ .. ..$ subject : int [1:4661] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4661] -0.463 0.41 -0.853 1.089 0.233 ... │ .. ..$ q2 : num [1:4661] 0.729 0.314 -0.419 0.818 -0.128 ... │ .. ..$ q3 : num [1:4661] -1.223 -0.8372 -1.9408 -0.0563 -0.993 ... │ .. ..$ q4 : num [1:4661] 234 234 232 234 233 ... │ .. ..$ uniqueID: chr [1:4661] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 2097 obs. of 6 variables: │ .. ..$ subject : int [1:2097] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2097] 0.639 -0.516 0.234 0.984 -0.253 ... │ .. ..$ q2 : num [1:2097] 0.8591 -0.8517 -1.4826 0.8376 -0.0544 ... │ .. ..$ q3 : num [1:2097] 2.27962 -0.66175 -0.82258 1.22514 -0.00823 ... │ .. ..$ q4 : num [1:2097] 236 233 233 235 233 ... │ .. ..$ uniqueID: chr [1:2097] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 2158 obs. of 6 variables: │ .. ..$ subject : int [1:2158] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2158] -1.1906 0.1028 -0.8392 0.0937 1.1801 ... │ .. ..$ q2 : num [1:2158] 1.05 0.296 -1.064 -1.146 -0.202 ... │ .. ..$ q3 : num [1:2158] 0.646 0.422 -1.079 -1.637 -0.683 ... │ .. ..$ q4 : num [1:2158] 234 234 233 232 233 ... │ .. ..$ uniqueID: chr [1:2158] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 1966 obs. of 6 variables: │ .. ..$ subject : int [1:1966] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1966] 0.4886 0.0743 1.3569 -1.7332 -0.9958 ... │ .. ..$ q2 : num [1:1966] 3.413 2.311 0.266 1.807 -0.976 ... │ .. ..$ q3 : num [1:1966] 0.362 2.339 -0.467 -0.655 -0.927 ... │ .. ..$ q4 : num [1:1966] 236 236 235 234 233 ... │ .. ..$ uniqueID: chr [1:1966] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:370:2'): Clusters are created correctly ───────── Expected output from `str(mc1_1)` to match regexp "school:List of 3". Actual output: ✖ │ List of 1 │ $ school: List of 3 │ ..$ : 'data.frame': 6 obs. of 6 variables: │ .. ..$ subject : int [1:6] 1 2 3 4 5 6 │ .. ..$ q1 : num [1:6] 0.2096 -0.0632 -0.9423 0.5759 0.6966 ... │ .. ..$ q2 : num [1:6] 1.493 -0.952 -0.113 1.019 1.739 ... │ .. ..$ q3 : num [1:6] 0.883 -2.012 -1.271 -0.326 -1.147 ... │ .. ..$ q4 : num [1:6] 235 233 233 234 235 ... │ .. ..$ uniqueID: chr [1:6] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 6 obs. of 6 variables: │ .. ..$ subject : int [1:6] 1 2 3 4 5 6 │ .. ..$ q1 : num [1:6] -0.938 -0.0979 0.5741 -1.7111 -1.2431 ... │ .. ..$ q2 : num [1:6] 0.52 0.318 0.449 0.322 -1.958 ... │ .. ..$ q3 : num [1:6] -0.362 -0.109 -0.951 -0.348 -2.249 ... │ .. ..$ q4 : num [1:6] 234 234 233 234 232 ... │ .. ..$ uniqueID: chr [1:6] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 6 obs. of 6 variables: │ .. ..$ subject : int [1:6] 1 2 3 4 5 6 │ .. ..$ q1 : num [1:6] 0.285 -0.374 -1.509 0.634 1.002 ... │ .. ..$ q2 : num [1:6] 0.141 -1.695 -1.149 -0.492 0.403 ... │ .. ..$ q3 : num [1:6] -1.787 0.182 -0.234 -0.778 -0.898 ... │ .. ..$ q4 : num [1:6] 233 234 233 232 233 ... │ .. ..$ uniqueID: chr [1:6] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:371:2'): Clusters are created correctly ───────── Expected output from `str(mc7)` to match regexp "country:List of 2". Actual output: ✖ │ List of 3 │ $ country: List of 2 │ ..$ : 'data.frame': 10 obs. of 5 variables: │ .. ..$ subject : int [1:10] 1 2 3 4 5 6 7 8 9 10 │ .. ..$ q1 : num [1:10] 21.6 19.7 19.1 20.3 20 ... │ .. ..$ q2 : num [1:10] 0.902 -0.754 -0.493 -0.515 -1.002 ... │ .. ..$ q3 : num [1:10] 52.2 50.9 50.1 51.3 51.5 ... │ .. ..$ uniqueID: chr [1:10] "school1_country1" "school2_country1" "school3_country1" "school4_country1" ... │ ..$ : 'data.frame': 10 obs. of 5 variables: │ .. ..$ subject : int [1:10] 1 2 3 4 5 6 7 8 9 10 │ .. ..$ q1 : num [1:10] 17.4 21.5 21.8 20.3 19.8 ... │ .. ..$ q2 : num [1:10] -1.571 1.109 1.039 0.874 -0.875 ... │ .. ..$ q3 : num [1:10] 48.7 51.6 51 50.8 50.9 ... │ .. ..$ uniqueID: chr [1:10] "school1_country2" "school2_country2" "school3_country2" "school4_country2" ... │ $ school : List of 20 │ ..$ : 'data.frame': 2 obs. of 5 variables: │ .. ..$ subject : int [1:2] 1 2 │ .. ..$ q1 : num [1:2] 18.5 20.1 │ .. ..$ q2 : num [1:2] -0.194 0.581 │ .. ..$ q3 : num [1:2] 49.4 50.3 │ .. ..$ uniqueID: chr [1:2] "class1_school1_country1" "class2_school1_country1" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 19.9 │ .. ..$ q2 : num 0.195 │ .. ..$ q3 : num 50.7 │ .. ..$ uniqueID: chr "class1_school2_country1" │ ..$ : 'data.frame': 3 obs. of 5 variables: │ .. ..$ subject : int [1:3] 1 2 3 │ .. ..$ q1 : num [1:3] 20.6 19.1 20 │ .. ..$ q2 : num [1:3] 1.549 -0.187 1.471 │ .. ..$ q3 : num [1:3] 50.8 50.6 51.3 │ .. ..$ uniqueID: chr [1:3] "class1_school3_country1" "class2_school3_country1" "class3_school3_country1" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 18 │ .. ..$ q2 : num 0.169 │ .. ..$ q3 : num 48.2 │ .. ..$ uniqueID: chr "class1_school4_country1" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 20.1 │ .. ..$ q2 : num -0.691 │ .. ..$ q3 : num 51.5 │ .. ..$ uniqueID: chr "class1_school5_country1" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 20.7 │ .. ..$ q2 : num 1.81 │ .. ..$ q3 : num 50.2 │ .. ..$ uniqueID: chr "class1_school6_country1" │ ..$ : 'data.frame': 2 obs. of 5 variables: │ .. ..$ subject : int [1:2] 1 2 │ .. ..$ q1 : num [1:2] 19.6 19.5 │ .. ..$ q2 : num [1:2] 0.207 -2.255 │ .. ..$ q3 : num [1:2] 50 50.2 │ .. ..$ uniqueID: chr [1:2] "class1_school7_country1" "class2_school7_country1" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 20.1 │ .. ..$ q2 : num 1.07 │ .. ..$ q3 : num 49.8 │ .. ..$ uniqueID: chr "class1_school8_country1" │ ..$ : 'data.frame': 2 obs. of 5 variables: │ .. ..$ subject : int [1:2] 1 2 │ .. ..$ q1 : num [1:2] 19.5 20.4 │ .. ..$ q2 : num [1:2] -0.374 1.407 │ .. ..$ q3 : num [1:2] 49.9 50.5 │ .. ..$ uniqueID: chr [1:2] "class1_school9_country1" "class2_school9_country1" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 18.5 │ .. ..$ q2 : num -0.232 │ .. ..$ q3 : num 49.2 │ .. ..$ uniqueID: chr "class1_school10_country1" │ ..$ : 'data.frame': 2 obs. of 5 variables: │ .. ..$ subject : int [1:2] 1 2 │ .. ..$ q1 : num [1:2] 19.7 19.4 │ .. ..$ q2 : num [1:2] -1.281 -0.702 │ .. ..$ q3 : num [1:2] 50.1 50 │ .. ..$ uniqueID: chr [1:2] "class1_school1_country2" "class2_school1_country2" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 16.9 │ .. ..$ q2 : num -1.6 │ .. ..$ q3 : num 48.8 │ .. ..$ uniqueID: chr "class1_school2_country2" │ ..$ : 'data.frame': 3 obs. of 5 variables: │ .. ..$ subject : int [1:3] 1 2 3 │ .. ..$ q1 : num [1:3] 21.5 20.8 21 │ .. ..$ q2 : num [1:3] 0.176 0.828 0.311 │ .. ..$ q3 : num [1:3] 52.1 51.7 50.6 │ .. ..$ uniqueID: chr [1:3] "class1_school3_country2" "class2_school3_country2" "class3_school3_country2" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 19.5 │ .. ..$ q2 : num 1.44 │ .. ..$ q3 : num 49.1 │ .. ..$ uniqueID: chr "class1_school4_country2" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 19.2 │ .. ..$ q2 : num 0.453 │ .. ..$ q3 : num 50.1 │ .. ..$ uniqueID: chr "class1_school5_country2" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 19.8 │ .. ..$ q2 : num -0.21 │ .. ..$ q3 : num 50.2 │ .. ..$ uniqueID: chr "class1_school6_country2" │ ..$ : 'data.frame': 2 obs. of 5 variables: │ .. ..$ subject : int [1:2] 1 2 │ .. ..$ q1 : num [1:2] 19.1 20.1 │ .. ..$ q2 : num [1:2] 0.438 0.853 │ .. ..$ q3 : num [1:2] 49.5 50.7 │ .. ..$ uniqueID: chr [1:2] "class1_school7_country2" "class2_school7_country2" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 19 │ .. ..$ q2 : num 0.25 │ .. ..$ q3 : num 49.9 │ .. ..$ uniqueID: chr "class1_school8_country2" │ ..$ : 'data.frame': 2 obs. of 5 variables: │ .. ..$ subject : int [1:2] 1 2 │ .. ..$ q1 : num [1:2] 19.7 18.7 │ .. ..$ q2 : num [1:2] -0.37 -1.56 │ .. ..$ q3 : num [1:2] 50.3 49.4 │ .. ..$ uniqueID: chr [1:2] "class1_school9_country2" "class2_school9_country2" │ ..$ : 'data.frame': 1 obs. of 5 variables: │ .. ..$ subject : int 1 │ .. ..$ q1 : num 18.9 │ .. ..$ q2 : num 0.281 │ .. ..$ q3 : num 48.9 │ .. ..$ uniqueID: chr "class1_school10_country2" │ $ class : List of 30 │ ..$ : 'data.frame': 39 obs. of 5 variables: │ .. ..$ subject : int [1:39] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:39] 19.4 20.7 21.1 19.2 19.5 ... │ .. ..$ q2 : num [1:39] 0.476 1.02 0.233 0.56 1.414 ... │ .. ..$ q3 : num [1:39] 48.7 50.4 52 50.1 50.6 ... │ .. ..$ uniqueID: chr [1:39] "student1_class1_school1_country1" "student2_class1_school1_country1" "student3_class1_school1_country1" "student4_class1_school1_country1" ... │ ..$ : 'data.frame': 35 obs. of 5 variables: │ .. ..$ subject : int [1:35] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:35] 19.8 19.4 19 18.5 20 ... │ .. ..$ q2 : num [1:35] 0.0838 0.5273 1.0577 -1.0109 2.0534 ... │ .. ..$ q3 : num [1:35] 50.2 48.7 48.9 49.7 50.5 ... │ .. ..$ uniqueID: chr [1:35] "student1_class2_school1_country1" "student2_class2_school1_country1" "student3_class2_school1_country1" "student4_class2_school1_country1" ... │ ..$ : 'data.frame': 19 obs. of 5 variables: │ .. ..$ subject : int [1:19] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:19] 20.5 20 20.1 19.3 19.1 ... │ .. ..$ q2 : num [1:19] -0.8958 0.0397 0.775 0.8152 0.8554 ... │ .. ..$ q3 : num [1:19] 50.2 50.4 51 49.9 50.5 ... │ .. ..$ uniqueID: chr [1:19] "student1_class1_school2_country1" "student2_class1_school2_country1" "student3_class1_school2_country1" "student4_class1_school2_country1" ... │ ..$ : 'data.frame': 27 obs. of 5 variables: │ .. ..$ subject : int [1:27] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:27] 19.6 22.1 20.2 19.5 20.2 ... │ .. ..$ q2 : num [1:27] -0.54 1.337 1.744 -0.11 0.535 ... │ .. ..$ q3 : num [1:27] 49.4 52.3 50.8 50.6 50.6 ... │ .. ..$ uniqueID: chr [1:27] "student1_class1_school3_country1" "student2_class1_school3_country1" "student3_class1_school3_country1" "student4_class1_school3_country1" ... │ ..$ : 'data.frame': 17 obs. of 5 variables: │ .. ..$ subject : int [1:17] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:17] 18.9 20.7 20.9 18.4 21.6 ... │ .. ..$ q2 : num [1:17] -0.915 0.39 0.735 0.135 1.622 ... │ .. ..$ q3 : num [1:17] 48.8 49.9 51.4 48.1 51.6 ... │ .. ..$ uniqueID: chr [1:17] "student1_class2_school3_country1" "student2_class2_school3_country1" "student3_class2_school3_country1" "student4_class2_school3_country1" ... │ ..$ : 'data.frame': 29 obs. of 5 variables: │ .. ..$ subject : int [1:29] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:29] 20.2 20.7 19.1 20 19.2 ... │ .. ..$ q2 : num [1:29] 0.302 -1.408 -0.231 -0.298 -0.236 ... │ .. ..$ q3 : num [1:29] 50.4 50.5 48.7 49.5 50 ... │ .. ..$ uniqueID: chr [1:29] "student1_class3_school3_country1" "student2_class3_school3_country1" "student3_class3_school3_country1" "student4_class3_school3_country1" ... │ ..$ : 'data.frame': 18 obs. of 5 variables: │ .. ..$ subject : int [1:18] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:18] 20.1 20 20.7 21.6 19.4 ... │ .. ..$ q2 : num [1:18] -0.145 1.158 0.709 2.465 0.835 ... │ .. ..$ q3 : num [1:18] 50.4 52.1 50.3 51.3 50.7 ... │ .. ..$ uniqueID: chr [1:18] "student1_class1_school4_country1" "student2_class1_school4_country1" "student3_class1_school4_country1" "student4_class1_school4_country1" ... │ ..$ : 'data.frame': 20 obs. of 5 variables: │ .. ..$ subject : int [1:20] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:20] 20.9 19.8 20.8 19.6 19.2 ... │ .. ..$ q2 : num [1:20] 0.625 -0.652 -0.663 0.133 -1.203 ... │ .. ..$ q3 : num [1:20] 51 51.2 51.7 50.6 50.1 ... │ .. ..$ uniqueID: chr [1:20] "student1_class1_school5_country1" "student2_class1_school5_country1" "student3_class1_school5_country1" "student4_class1_school5_country1" ... │ ..$ : 'data.frame': 11 obs. of 5 variables: │ .. ..$ subject : int [1:11] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:11] 20.2 21.5 18.2 19.2 19.9 ... │ .. ..$ q2 : num [1:11] 0.2715 0.9327 -0.3294 -0.0256 -1.3349 ... │ .. ..$ q3 : num [1:11] 50.4 51.5 48.9 50 50.4 ... │ .. ..$ uniqueID: chr [1:11] "student1_class1_school6_country1" "student2_class1_school6_country1" "student3_class1_school6_country1" "student4_class1_school6_country1" ... │ ..$ : 'data.frame': 19 obs. of 5 variables: │ .. ..$ subject : int [1:19] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:19] 21 19.7 21.6 20.9 19.6 ... │ .. ..$ q2 : num [1:19] 0.577 0.395 0.876 0.412 0.637 ... │ .. ..$ q3 : num [1:19] 51.8 50.9 52.1 51.2 51.7 ... │ .. ..$ uniqueID: chr [1:19] "student1_class1_school7_country1" "student2_class1_school7_country1" "student3_class1_school7_country1" "student4_class1_school7_country1" ... │ ..$ : 'data.frame': 27 obs. of 5 variables: │ .. ..$ subject : int [1:27] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:27] 20.8 19.8 19 19.4 19.6 ... │ .. ..$ q2 : num [1:27] 0.181 -0.304 0.616 0.906 0.821 ... │ .. ..$ q3 : num [1:27] 50.4 50.1 49.2 50.2 49.4 ... │ .. ..$ uniqueID: chr [1:27] "student1_class2_school7_country1" "student2_class2_school7_country1" "student3_class2_school7_country1" "student4_class2_school7_country1" ... │ ..$ : 'data.frame': 21 obs. of 5 variables: │ .. ..$ subject : int [1:21] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:21] 19.1 18 20.8 20.2 19.9 ... │ .. ..$ q2 : num [1:21] -1.1641 -1.577 0.7795 -0.5685 -0.0782 ... │ .. ..$ q3 : num [1:21] 50.1 49.3 50.6 50.8 50.6 ... │ .. ..$ uniqueID: chr [1:21] "student1_class1_school8_country1" "student2_class1_school8_country1" "student3_class1_school8_country1" "student4_class1_school8_country1" ... │ ..$ : 'data.frame': 35 obs. of 5 variables: │ .. ..$ subject : int [1:35] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:35] 20.6 21.7 19.8 19.5 19.4 ... │ .. ..$ q2 : num [1:35] 0.651 0.969 0.184 0.615 0.604 ... │ .. ..$ q3 : num [1:35] 50.3 52.9 50.8 49.7 51.2 ... │ .. ..$ uniqueID: chr [1:35] "student1_class1_school9_country1" "student2_class1_school9_country1" "student3_class1_school9_country1" "student4_class1_school9_country1" ... │ ..$ : 'data.frame': 34 obs. of 5 variables: │ .. ..$ subject : int [1:34] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:34] 19.2 21.7 20.4 19.2 20.4 ... │ .. ..$ q2 : num [1:34] 0.645 0.945 -0.823 -0.612 -0.112 ... │ .. ..$ q3 : num [1:34] 51.1 52 51.4 51 49.9 ... │ .. ..$ uniqueID: chr [1:34] "student1_class2_school9_country1" "student2_class2_school9_country1" "student3_class2_school9_country1" "student4_class2_school9_country1" ... │ ..$ : 'data.frame': 12 obs. of 5 variables: │ .. ..$ subject : int [1:12] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:12] 21.5 20.5 21.2 19.4 21.9 ... │ .. ..$ q2 : num [1:12] 1.648 3.066 1.639 0.413 1.481 ... │ .. ..$ q3 : num [1:12] 51.7 50.8 50.6 49.7 52.3 ... │ .. ..$ uniqueID: chr [1:12] "student1_class1_school10_country1" "student2_class1_school10_country1" "student3_class1_school10_country1" "student4_class1_school10_country1" ... │ ..$ : 'data.frame': 47 obs. of 5 variables: │ .. ..$ subject : int [1:47] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:47] 20.4 20.5 20.9 19.7 18.3 ... │ .. ..$ q2 : num [1:47] 0.296 0.862 0.42 0.131 -0.242 ... │ .. ..$ q3 : num [1:47] 50 51.7 51.1 50.5 49.2 ... │ .. ..$ uniqueID: chr [1:47] "student1_class1_school1_country2" "student2_class1_school1_country2" "student3_class1_school1_country2" "student4_class1_school1_country2" ... │ ..$ : 'data.frame': 11 obs. of 5 variables: │ .. ..$ subject : int [1:11] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:11] 19.2 20.6 19.5 21 19.8 ... │ .. ..$ q2 : num [1:11] -0.068 0.483 -0.262 -0.201 0.176 ... │ .. ..$ q3 : num [1:11] 49.2 50.5 49.7 52.4 50.8 ... │ .. ..$ uniqueID: chr [1:11] "student1_class2_school1_country2" "student2_class2_school1_country2" "student3_class2_school1_country2" "student4_class2_school1_country2" ... │ ..$ : 'data.frame': 29 obs. of 5 variables: │ .. ..$ subject : int [1:29] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:29] 18.9 19.7 18.8 20.8 20 ... │ .. ..$ q2 : num [1:29] 0.142 0.52 -0.316 0.807 1.537 ... │ .. ..$ q3 : num [1:29] 50 49.9 50.4 51.3 51.2 ... │ .. ..$ uniqueID: chr [1:29] "student1_class1_school2_country2" "student2_class1_school2_country2" "student3_class1_school2_country2" "student4_class1_school2_country2" ... │ ..$ : 'data.frame': 21 obs. of 5 variables: │ .. ..$ subject : int [1:21] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:21] 21 18.7 18.9 20 18.2 ... │ .. ..$ q2 : num [1:21] 1.273 1.51 -0.263 0.111 -0.697 ... │ .. ..$ q3 : num [1:21] 50.9 49.6 49.9 50.7 49.6 ... │ .. ..$ uniqueID: chr [1:21] "student1_class1_school3_country2" "student2_class1_school3_country2" "student3_class1_school3_country2" "student4_class1_school3_country2" ... │ ..$ : 'data.frame': 24 obs. of 5 variables: │ .. ..$ subject : int [1:24] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:24] 20 19.7 20.8 19.5 19.3 ... │ .. ..$ q2 : num [1:24] -0.986 0.877 0.717 -1.229 -0.141 ... │ .. ..$ q3 : num [1:24] 51.3 49 50.7 50.8 50.6 ... │ .. ..$ uniqueID: chr [1:24] "student1_class2_school3_country2" "student2_class2_school3_country2" "student3_class2_school3_country2" "student4_class2_school3_country2" ... │ ..$ : 'data.frame': 14 obs. of 5 variables: │ .. ..$ subject : int [1:14] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:14] 20.1 20 19.4 19 19.6 ... │ .. ..$ q2 : num [1:14] 0.66 -0.923 -0.488 -0.287 -0.739 ... │ .. ..$ q3 : num [1:14] 51.4 51.3 50.9 49.8 49.6 ... │ .. ..$ uniqueID: chr [1:14] "student1_class3_school3_country2" "student2_class3_school3_country2" "student3_class3_school3_country2" "student4_class3_school3_country2" ... │ ..$ : 'data.frame': 15 obs. of 5 variables: │ .. ..$ subject : int [1:15] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:15] 20 19.7 19.8 20 20.4 ... │ .. ..$ q2 : num [1:15] 0.921 0.707 0.28 1.262 1.7 ... │ .. ..$ q3 : num [1:15] 49.7 50.7 50.1 50.5 50.6 ... │ .. ..$ uniqueID: chr [1:15] "student1_class1_school4_country2" "student2_class1_school4_country2" "student3_class1_school4_country2" "student4_class1_school4_country2" ... │ ..$ : 'data.frame': 15 obs. of 5 variables: │ .. ..$ subject : int [1:15] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:15] 19.8 20.5 19.1 20.9 20.1 ... │ .. ..$ q2 : num [1:15] 1.132 1.107 1.004 0.582 0.46 ... │ .. ..$ q3 : num [1:15] 50.8 51.9 49.5 51.9 50.6 ... │ .. ..$ uniqueID: chr [1:15] "student1_class1_school5_country2" "student2_class1_school5_country2" "student3_class1_school5_country2" "student4_class1_school5_country2" ... │ ..$ : 'data.frame': 28 obs. of 5 variables: │ .. ..$ subject : int [1:28] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:28] 19.8 21.5 19.9 21.4 20.6 ... │ .. ..$ q2 : num [1:28] 0.0415 1.0815 -1.3937 1.6799 0.9592 ... │ .. ..$ q3 : num [1:28] 50 52 50.9 51.3 50.8 ... │ .. ..$ uniqueID: chr [1:28] "student1_class1_school6_country2" "student2_class1_school6_country2" "student3_class1_school6_country2" "student4_class1_school6_country2" ... │ ..$ : 'data.frame': 38 obs. of 5 variables: │ .. ..$ subject : int [1:38] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:38] 20.5 20.1 17.2 19.9 18.8 ... │ .. ..$ q2 : num [1:38] 0.432 1.404 -0.597 -1.058 -0.107 ... │ .. ..$ q3 : num [1:38] 51.3 50.8 47.5 51.6 50.3 ... │ .. ..$ uniqueID: chr [1:38] "student1_class1_school7_country2" "student2_class1_school7_country2" "student3_class1_school7_country2" "student4_class1_school7_country2" ... │ ..$ : 'data.frame': 14 obs. of 5 variables: │ .. ..$ subject : int [1:14] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:14] 21.4 20.7 21 19.8 21.4 ... │ .. ..$ q2 : num [1:14] 1.156 0.173 0.739 -0.178 1.787 ... │ .. ..$ q3 : num [1:14] 51.7 51.1 51.1 51.4 51.9 ... │ .. ..$ uniqueID: chr [1:14] "student1_class2_school7_country2" "student2_class2_school7_country2" "student3_class2_school7_country2" "student4_class2_school7_country2" ... │ ..$ : 'data.frame': 29 obs. of 5 variables: │ .. ..$ subject : int [1:29] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:29] 20.7 19.4 19.8 19.5 19.9 ... │ .. ..$ q2 : num [1:29] 0.2186 -0.5797 -0.0697 0.5751 1.9329 ... │ .. ..$ q3 : num [1:29] 51.5 49.4 50.6 50.6 51.1 ... │ .. ..$ uniqueID: chr [1:29] "student1_class1_school8_country2" "student2_class1_school8_country2" "student3_class1_school8_country2" "student4_class1_school8_country2" ... │ ..$ : 'data.frame': 11 obs. of 5 variables: │ .. ..$ subject : int [1:11] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:11] 21.2 19.3 20.1 18.2 21 ... │ .. ..$ q2 : num [1:11] 1.7122 -1.1447 0.0129 -1.4198 0.6908 ... │ .. ..$ q3 : num [1:11] 50.6 50 50.5 50.1 50.8 ... │ .. ..$ uniqueID: chr [1:11] "student1_class1_school9_country2" "student2_class1_school9_country2" "student3_class1_school9_country2" "student4_class1_school9_country2" ... │ ..$ : 'data.frame': 18 obs. of 5 variables: │ .. ..$ subject : int [1:18] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:18] 21.8 21.1 20.4 18.8 18.5 ... │ .. ..$ q2 : num [1:18] 1.6 0.282 -0.192 -0.569 -0.224 ... │ .. ..$ q3 : num [1:18] 52.7 51 51.6 49.9 49.4 ... │ .. ..$ uniqueID: chr [1:18] "student1_class2_school9_country2" "student2_class2_school9_country2" "student3_class2_school9_country2" "student4_class2_school9_country2" ... │ ..$ : 'data.frame': 10 obs. of 5 variables: │ .. ..$ subject : int [1:10] 1 2 3 4 5 6 7 8 9 10 │ .. ..$ q1 : num [1:10] 20.2 19.7 21.3 19.3 20.3 ... │ .. ..$ q2 : num [1:10] -0.6169 1.2454 0.0528 0.4313 1.1947 ... │ .. ..$ q3 : num [1:10] 50.5 49.1 50.8 49.1 50.4 ... │ .. ..$ uniqueID: chr [1:10] "student1_class1_school10_country2" "student2_class1_school10_country2" "student3_class1_school10_country2" "student4_class1_school10_country2" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:372:2'): Clusters are created correctly ───────── Expected output from `str(mc7_1)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 6 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] -0.968 0.936 -0.292 0.451 -0.03 ... │ .. ..$ q2 : num [1:1997] -0.0949 -1.6595 0.3444 -0.5639 0.4219 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 1 2 1 3 2 1 3 3 3 1 ... │ .. ..$ q4 : Factor w/ 5 levels "1","2","3","4",..: 3 2 2 5 3 3 4 5 5 1 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 6 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 0.928 0.571 0.327 0.967 0.493 ... │ .. ..$ q2 : num [1:2062] 1.699 0.966 -0.945 -0.465 1.334 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 1 1 2 2 1 1 1 1 2 ... │ .. ..$ q4 : Factor w/ 5 levels "1","2","3","4",..: 5 5 3 5 5 4 4 4 3 4 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 6 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] -0.223 1.442 0.802 0.127 -0.667 ... │ .. ..$ q2 : num [1:2963] -1.903 1.875 -0.615 0.72 0.999 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 1 5 1 3 4 1 1 1 1 1 ... │ .. ..$ q4 : Factor w/ 4 levels "1","2","3","4": 1 4 1 4 4 4 2 4 1 2 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 6 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 1.702 -0.713 -0.229 2.17 0.459 ... │ .. ..$ q2 : num [1:2321] 0.2248 -0.3608 0.0785 -0.1979 0.681 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 3 1 2 3 4 4 3 3 1 4 ... │ .. ..$ q4 : Factor w/ 3 levels "1","2","3": 2 1 1 2 3 3 2 2 2 3 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 6 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 1.149 0.153 1.616 0.677 -1.156 ... │ .. ..$ q2 : num [1:4082] -0.0975 1.2036 0.9811 0.0613 0.2765 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 1 1 1 1 1 2 1 1 1 ... │ .. ..$ q4 : Factor w/ 2 levels "1","2": 2 1 1 2 1 2 2 2 1 1 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 6 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] -0.058 1.088 1.497 0.704 -0.288 ... │ .. ..$ q2 : num [1:3505] 0.151 0.75 0.401 0.743 1.868 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 1 2 2 1 3 1 3 1 2 1 ... │ .. ..$ q4 : Factor w/ 4 levels "1","2","3","4": 2 4 4 3 4 3 4 3 4 3 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 6 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 1.6028 0.6379 -0.4658 0.2784 0.0372 ... │ .. ..$ q2 : num [1:3914] 1.0107 -0.6248 0.0422 0.5081 -2.1824 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 1 2 4 2 1 2 4 3 4 2 ... │ .. ..$ q4 : Factor w/ 3 levels "1","2","3": 1 3 2 3 1 1 3 3 3 3 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 6 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] -0.69176 1.33994 -0.67908 -0.43113 -0.00484 ... │ .. ..$ q2 : num [1:1155] 0.309 2.555 -1.609 -0.641 0.21 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 3 4 1 3 3 1 3 3 1 3 ... │ .. ..$ q4 : Factor w/ 2 levels "1","2": 1 2 1 1 2 1 1 2 1 2 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 6 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 0.699 -0.667 1.493 -0.182 2.015 ... │ .. ..$ q2 : num [1:1504] 0.786 -0.415 0.358 -2.185 0.382 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 3 1 4 3 2 4 4 1 1 4 ... │ .. ..$ q4 : Factor w/ 5 levels "1","2","3","4",..: 4 1 3 1 3 3 4 4 2 5 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 6 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] -0.291 0.399 0.792 0.618 -0.146 ... │ .. ..$ q2 : num [1:3229] -1.094 -0.697 -0.595 -0.338 -1.517 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 1 3 3 1 2 3 1 2 3 5 ... │ .. ..$ q4 : Factor w/ 2 levels "1","2": 1 1 1 1 1 1 1 1 1 1 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:373:2'): Clusters are created correctly ───────── Expected output from `str(mc7_2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1114 obs. of 6 variables: │ .. ..$ subject : int [1:1114] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1114] -0.857 2.015 0.341 0.661 1.242 ... │ .. ..$ q2 : num [1:1114] -1.814 -0.194 1.143 0.668 0.712 ... │ .. ..$ q3 : num [1:1114] 232 234 234 235 235 ... │ .. ..$ q4 : Factor w/ 5 levels "1","2","3","4",..: 1 4 4 5 4 5 4 4 3 2 ... │ .. ..$ uniqueID: chr [1:1114] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 3026 obs. of 6 variables: │ .. ..$ subject : int [1:3026] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3026] 0.867 0.41 1.569 1.615 -0.5 ... │ .. ..$ q2 : num [1:3026] 1.724 -1.863 -1.533 0.659 -1.68 ... │ .. ..$ q3 : num [1:3026] 235 234 234 234 233 ... │ .. ..$ q4 : Factor w/ 3 levels "1","2","3": 3 1 2 2 1 1 1 3 3 1 ... │ .. ..$ uniqueID: chr [1:3026] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 1069 obs. of 6 variables: │ .. ..$ subject : int [1:1069] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1069] -0.1316 2.0102 0.0146 0.6859 -1.207 ... │ .. ..$ q2 : num [1:1069] 0.0341 1.9648 1.157 1.8564 -1.2839 ... │ .. ..$ q3 : num [1:1069] 234 235 234 235 232 ... │ .. ..$ q4 : Factor w/ 4 levels "1","2","3","4": 3 4 3 4 1 1 3 3 3 1 ... │ .. ..$ uniqueID: chr [1:1069] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 3731 obs. of 6 variables: │ .. ..$ subject : int [1:3731] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3731] -0.0836 0.1816 -1.9668 -0.1045 1.0242 ... │ .. ..$ q2 : num [1:3731] 0.127 -2.272 0.785 0.72 1.163 ... │ .. ..$ q3 : num [1:3731] 235 232 236 233 234 ... │ .. ..$ q4 : Factor w/ 5 levels "1","2","3","4",..: 5 1 5 3 2 5 4 1 1 1 ... │ .. ..$ uniqueID: chr [1:3731] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 2121 obs. of 6 variables: │ .. ..$ subject : int [1:2121] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2121] 1.553 2.435 0.606 -0.189 0.764 ... │ .. ..$ q2 : num [1:2121] -0.465 1.718 0.761 -2.078 0.706 ... │ .. ..$ q3 : num [1:2121] 234 235 236 231 233 ... │ .. ..$ q4 : Factor w/ 3 levels "1","2","3": 3 3 3 1 3 2 3 1 3 3 ... │ .. ..$ uniqueID: chr [1:2121] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 1900 obs. of 6 variables: │ .. ..$ subject : int [1:1900] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1900] -0.166 2.072 0.953 1.332 -0.512 ... │ .. ..$ q2 : num [1:1900] 0.117 0.363 -1.238 0.115 -0.858 ... │ .. ..$ q3 : num [1:1900] 235 234 233 234 233 ... │ .. ..$ q4 : Factor w/ 4 levels "1","2","3","4": 3 3 1 4 1 3 2 4 2 3 ... │ .. ..$ uniqueID: chr [1:1900] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 2939 obs. of 6 variables: │ .. ..$ subject : int [1:2939] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2939] -0.294 1.426 0.266 -0.267 -0.496 ... │ .. ..$ q2 : num [1:2939] -0.435 -0.576 0.898 0.966 -2.311 ... │ .. ..$ q3 : num [1:2939] 234 234 233 234 233 ... │ .. ..$ q4 : Factor w/ 5 levels "1","2","3","4",..: 1 2 2 2 1 3 2 1 4 1 ... │ .. ..$ uniqueID: chr [1:2939] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1747 obs. of 6 variables: │ .. ..$ subject : int [1:1747] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1747] -0.339 -0.527 0.568 0.151 -0.285 ... │ .. ..$ q2 : num [1:1747] 0.2769 -0.0826 -0.4632 -0.1301 -0.0355 ... │ .. ..$ q3 : num [1:1747] 234 234 236 235 233 ... │ .. ..$ q4 : Factor w/ 4 levels "1","2","3","4": 1 1 4 2 1 1 2 3 4 1 ... │ .. ..$ uniqueID: chr [1:1747] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1811 obs. of 6 variables: │ .. ..$ subject : int [1:1811] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1811] -0.184 1.413 1.404 1.205 3.42 ... │ .. ..$ q2 : num [1:1811] 1.44 0.595 0.542 0.993 -0.429 ... │ .. ..$ q3 : num [1:1811] 235 235 235 236 234 ... │ .. ..$ q4 : Factor w/ 2 levels "1","2": 2 2 2 2 2 2 2 1 2 2 ... │ .. ..$ uniqueID: chr [1:1811] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 1187 obs. of 6 variables: │ .. ..$ subject : int [1:1187] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1187] -0.134 1.719 1.224 1.113 0.98 ... │ .. ..$ q2 : num [1:1187] 0.122 1.818 2.662 0.892 0.503 ... │ .. ..$ q3 : num [1:1187] 234 234 234 234 235 ... │ .. ..$ q4 : Factor w/ 4 levels "1","2","3","4": 3 4 4 3 4 1 3 1 2 1 ... │ .. ..$ uniqueID: chr [1:1187] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:374:2'): Clusters are created correctly ───────── Expected output from `str(mc2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 55 55.1 55.9 56.3 53.5 ... │ .. ..$ q2 : num [1:1997] 1.72 1.31 3.62 3.45 1.78 ... │ .. ..$ q3 : num [1:1997] 5001 5001 5003 5002 5000 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 55.3 55 55.7 56.4 55.4 ... │ .. ..$ q2 : num [1:2062] 3.074 2.638 3.154 0.806 3.363 ... │ .. ..$ q3 : num [1:2062] 5002 5001 5002 5001 5003 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 55.4 53.8 54.7 53.8 54.7 ... │ .. ..$ q2 : num [1:2963] 1.89 1.83 3.32 1.71 2.61 ... │ .. ..$ q3 : num [1:2963] 5000 5000 5002 5000 5001 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 54.1 52.3 56.4 53.7 56.5 ... │ .. ..$ q2 : num [1:2321] 1.489 -0.154 4.261 2.471 3.341 ... │ .. ..$ q3 : num [1:2321] 5001 4999 5004 5001 5002 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 54.9 56.1 57.3 56.6 53.4 ... │ .. ..$ q2 : num [1:4082] 1.134 3.018 3.724 3.193 0.765 ... │ .. ..$ q3 : num [1:4082] 5000 5002 5002 5002 4999 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 56.1 54.6 55.6 54.5 55.8 ... │ .. ..$ q2 : num [1:3505] 2.931 0.119 3.418 1.644 1.853 ... │ .. ..$ q3 : num [1:3505] 5002 5000 5002 5001 5001 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 53.8 56.2 56.2 53.3 55.3 ... │ .. ..$ q2 : num [1:3914] 1.78 1.95 4.19 1.36 2.26 ... │ .. ..$ q3 : num [1:3914] 5000 5000 5003 5000 5001 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 54.1 56.9 55.1 55.7 54.9 ... │ .. ..$ q2 : num [1:1155] 2.66 3.44 3.55 3.06 2.83 ... │ .. ..$ q3 : num [1:1155] 5002 5002 5002 5002 5002 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 55.5 56.4 55.5 53.5 55.4 ... │ .. ..$ q2 : num [1:1504] 3.24 3.07 3.77 2.53 0.62 ... │ .. ..$ q3 : num [1:1504] 5002 5001 5002 5001 5000 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 54.6 53.8 54.1 55.8 54.7 ... │ .. ..$ q2 : num [1:3229] 1.86 2.51 1.7 2.94 1.59 ... │ .. ..$ q3 : num [1:3229] 5000 5001 4999 5002 5000 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:375:2'): Clusters are created correctly ───────── Expected output from `str(mc3)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 55 55.1 55.9 56.3 53.5 ... │ .. ..$ q2 : num [1:1997] 1.72 1.31 3.62 3.45 1.78 ... │ .. ..$ q3 : num [1:1997] 5001 5001 5003 5002 5000 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 55.3 55 55.7 56.4 55.4 ... │ .. ..$ q2 : num [1:2062] 3.074 2.638 3.154 0.806 3.363 ... │ .. ..$ q3 : num [1:2062] 5002 5001 5002 5001 5003 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 55.4 53.8 54.7 53.8 54.7 ... │ .. ..$ q2 : num [1:2963] 1.89 1.83 3.32 1.71 2.61 ... │ .. ..$ q3 : num [1:2963] 5000 5000 5002 5000 5001 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 54.1 52.3 56.4 53.7 56.5 ... │ .. ..$ q2 : num [1:2321] 1.489 -0.154 4.261 2.471 3.341 ... │ .. ..$ q3 : num [1:2321] 5001 4999 5004 5001 5002 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 54.9 56.1 57.3 56.6 53.4 ... │ .. ..$ q2 : num [1:4082] 1.134 3.018 3.724 3.193 0.765 ... │ .. ..$ q3 : num [1:4082] 5000 5002 5002 5002 4999 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 56.1 54.6 55.6 54.5 55.8 ... │ .. ..$ q2 : num [1:3505] 2.931 0.119 3.418 1.644 1.853 ... │ .. ..$ q3 : num [1:3505] 5002 5000 5002 5001 5001 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 53.8 56.2 56.2 53.3 55.3 ... │ .. ..$ q2 : num [1:3914] 1.78 1.95 4.19 1.36 2.26 ... │ .. ..$ q3 : num [1:3914] 5000 5000 5003 5000 5001 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 54.1 56.9 55.1 55.7 54.9 ... │ .. ..$ q2 : num [1:1155] 2.66 3.44 3.55 3.06 2.83 ... │ .. ..$ q3 : num [1:1155] 5002 5002 5002 5002 5002 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 55.5 56.4 55.5 53.5 55.4 ... │ .. ..$ q2 : num [1:1504] 3.24 3.07 3.77 2.53 0.62 ... │ .. ..$ q3 : num [1:1504] 5002 5001 5002 5001 5000 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 54.6 53.8 54.1 55.8 54.7 ... │ .. ..$ q2 : num [1:3229] 1.86 2.51 1.7 2.94 1.59 ... │ .. ..$ q3 : num [1:3229] 5000 5001 4999 5002 5000 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:376:2'): Clusters are created correctly ───────── Expected output from `str(mc3_1)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 55 55.1 55.9 56.3 53.5 ... │ .. ..$ q2 : num [1:1997] 1.72 1.31 3.62 3.45 1.78 ... │ .. ..$ q3 : num [1:1997] 5001 5001 5003 5002 5000 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 55.3 55 55.7 56.4 55.4 ... │ .. ..$ q2 : num [1:2062] 3.074 2.638 3.154 0.806 3.363 ... │ .. ..$ q3 : num [1:2062] 5002 5001 5002 5001 5003 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 55.4 53.8 54.7 53.8 54.7 ... │ .. ..$ q2 : num [1:2963] 1.89 1.83 3.32 1.71 2.61 ... │ .. ..$ q3 : num [1:2963] 5000 5000 5002 5000 5001 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 54.1 52.3 56.4 53.7 56.5 ... │ .. ..$ q2 : num [1:2321] 1.489 -0.154 4.261 2.471 3.341 ... │ .. ..$ q3 : num [1:2321] 5001 4999 5004 5001 5002 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 54.9 56.1 57.3 56.6 53.4 ... │ .. ..$ q2 : num [1:4082] 1.134 3.018 3.724 3.193 0.765 ... │ .. ..$ q3 : num [1:4082] 5000 5002 5002 5002 4999 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 56.1 54.6 55.6 54.5 55.8 ... │ .. ..$ q2 : num [1:3505] 2.931 0.119 3.418 1.644 1.853 ... │ .. ..$ q3 : num [1:3505] 5002 5000 5002 5001 5001 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 53.8 56.2 56.2 53.3 55.3 ... │ .. ..$ q2 : num [1:3914] 1.78 1.95 4.19 1.36 2.26 ... │ .. ..$ q3 : num [1:3914] 5000 5000 5003 5000 5001 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 54.1 56.9 55.1 55.7 54.9 ... │ .. ..$ q2 : num [1:1155] 2.66 3.44 3.55 3.06 2.83 ... │ .. ..$ q3 : num [1:1155] 5002 5002 5002 5002 5002 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 55.5 56.4 55.5 53.5 55.4 ... │ .. ..$ q2 : num [1:1504] 3.24 3.07 3.77 2.53 0.62 ... │ .. ..$ q3 : num [1:1504] 5002 5001 5002 5001 5000 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 54.6 53.8 54.1 55.8 54.7 ... │ .. ..$ q2 : num [1:3229] 1.86 2.51 1.7 2.94 1.59 ... │ .. ..$ q3 : num [1:3229] 5000 5001 4999 5002 5000 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:377:2'): Clusters are created correctly ───────── Expected output from `str(mc3_2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 55.9 56.3 53.5 55.4 54.2 ... │ .. ..$ q2 : num [1:1997] 3.62 3.45 1.78 1.01 2.39 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 3 3 1 1 2 2 2 2 3 3 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 54.7 54.7 54.8 55.7 55.4 ... │ .. ..$ q2 : num [1:2062] 2.67 1.7 1.48 2.29 2.13 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 4 1 1 1 1 2 1 3 1 1 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 54.9 53.1 57.4 54.7 55 ... │ .. ..$ q2 : num [1:2963] 3.352 2.037 3.536 0.464 2.547 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 5 1 5 1 3 1 1 2 1 1 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 54.1 57 54.2 56.7 55.7 ... │ .. ..$ q2 : num [1:2321] 2.42 3.08 1.91 2.3 3.29 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 2 2 2 2 2 2 1 2 2 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 56.3 54.7 56.3 55.5 55.3 ... │ .. ..$ q2 : num [1:4082] 2.73 1.14 1.76 3.29 1.94 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 4 1 2 4 2 5 4 2 2 5 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 54.7 54.5 55.2 55.3 55.2 ... │ .. ..$ q2 : num [1:3505] 0.335 1.288 1.1 1.799 3.258 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 1 1 1 1 2 1 2 3 3 2 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 53.6 53.2 55.3 56.8 55.9 ... │ .. ..$ q2 : num [1:3914] 1.29 1.44 1.89 3.93 3.3 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 1 2 2 2 1 1 2 2 2 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 55.2 55.3 55.3 54 52.3 ... │ .. ..$ q2 : num [1:1155] 2.019 2.353 1.582 1.172 0.502 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 2 3 2 1 1 3 1 4 2 2 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 55.7 55 54.5 56.3 54.9 ... │ .. ..$ q2 : num [1:1504] 1.46 1.88 1.63 2.29 2.98 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 1 1 1 4 4 1 1 1 1 1 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 57.2 55.3 53.8 54.3 54.9 ... │ .. ..$ q2 : num [1:3229] 3.735 0.664 2.647 -0.017 2.709 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 3 1 3 1 1 1 1 3 3 3 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:429:2'): Clusters are generated correctly ─────── Expected output from `str(sc1)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 6 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 0.0105 0.0666 0.9106 1.2659 -1.4682 ... │ .. ..$ q2 : num [1:1997] -1.402 -2.39 2.222 1.578 -0.192 ... │ .. ..$ q3 : num [1:1997] 1.118 0.526 8.914 2.018 -1.7 ... │ .. ..$ q4 : num [1:1997] 0.328 -1.504 10.323 6.073 -1.63 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 6 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 1.054 -0.379 -1.289 0.109 0.143 ... │ .. ..$ q2 : num [1:2062] 2.082 -0.712 -0.191 -1.463 0.953 ... │ .. ..$ q3 : num [1:2062] 0.811 1.712 2.774 -3.781 0.584 ... │ .. ..$ q4 : num [1:2062] 3.6511 0.0824 2.2345 -1.3943 3.1744 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 6 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 0.33 -1.26 0.81 0.522 -0.539 ... │ .. ..$ q2 : num [1:2963] -2.406 1.912 -1.155 0.763 0.377 ... │ .. ..$ q3 : num [1:2963] -6.39 1.29 2.82 -2.74 -0.35 ... │ .. ..$ q4 : num [1:2963] -5.834 5.347 2.875 -2.341 -0.481 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 6 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] -2.061 -1.411 -0.499 0.114 -0.447 ... │ .. ..$ q2 : num [1:2321] -1.59 -3.386 2.25 -0.349 -0.374 ... │ .. ..$ q3 : num [1:2321] -0.0147 -4.8569 6.3421 0.9477 1.3019 ... │ .. ..$ q4 : num [1:2321] -4.5894 -8.841 3.6706 2.0888 0.0944 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 6 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] -2.406 -0.554 0.236 -1.063 1.183 ... │ .. ..$ q2 : num [1:4082] -0.728 -1.356 2.226 -1.684 -1.981 ... │ .. ..$ q3 : num [1:4082] -0.572 2.01 5.199 2.349 -1.842 ... │ .. ..$ q4 : num [1:4082] -1.936 -1.387 5.743 -0.212 -5.737 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 6 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 1.624 -0.276 -1.6 -0.101 -0.886 ... │ .. ..$ q2 : num [1:3505] -0.76 0.707 1.163 -2.158 -1.555 ... │ .. ..$ q3 : num [1:3505] 0.484 -3.406 1.113 -0.263 0.331 ... │ .. ..$ q4 : num [1:3505] 0.0681 0.1188 1.9302 -1.8369 -2.4243 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 6 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] -1.3108 0.7543 -0.1535 0.2505 -0.0287 ... │ .. ..$ q2 : num [1:3914] -0.908 -1.602 -1.273 -0.415 1.253 ... │ .. ..$ q3 : num [1:3914] -1.84 -5 -5.8 -1.35 3.37 ... │ .. ..$ q4 : num [1:3914] -3.49 -4.42 -6.36 2.29 3.29 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 6 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 0.183 0.289 -0.807 0.813 -0.477 ... │ .. ..$ q2 : num [1:1155] 2.1419 -0.0944 -0.4173 0.6631 1.2781 ... │ .. ..$ q3 : num [1:1155] 3.149 -2.614 -0.559 -1.038 -0.524 ... │ .. ..$ q4 : num [1:1155] 9.13 -1.49 -1.98 3.5 -1.33 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 6 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] -0.596 -0.214 -0.274 -0.617 -0.904 ... │ .. ..$ q2 : num [1:1504] -1.846 1.701 1.054 -3.294 -0.666 ... │ .. ..$ q3 : num [1:1504] 0.136 5.025 1.705 -4.235 -0.637 ... │ .. ..$ q4 : num [1:1504] -2.78 5.428 4.876 -5.778 0.686 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 6 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 0.1829 0.5697 -0.5134 -0.0783 0.2597 ... │ .. ..$ q2 : num [1:3229] 1.623 1.099 2.342 1.249 -0.175 ... │ .. ..$ q3 : num [1:3229] -0.127 5.057 6.666 1.988 -5.081 ... │ .. ..$ q4 : num [1:3229] 3.12 3.09 9.08 1.97 -1.63 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:430:2'): Clusters are generated correctly ─────── Expected output from `str(sc1_1)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 2389 obs. of 6 variables: │ .. ..$ subject : int [1:2389] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2389] -0.154 -0.452 -0.359 0.603 0.413 ... │ .. ..$ q2 : num [1:2389] -0.932 -1.157 0.135 1.958 -1.162 ... │ .. ..$ q3 : num [1:2389] -3.07 -1.37 1.33 5.68 -4.64 ... │ .. ..$ q4 : num [1:2389] 0.686 -2.028 2.007 7.701 -3.589 ... │ .. ..$ uniqueID: chr [1:2389] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2704 obs. of 6 variables: │ .. ..$ subject : int [1:2704] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2704] 0.1034 -0.9604 0.0184 -0.6618 1.6557 ... │ .. ..$ q2 : num [1:2704] -1.628 1.825 -0.5 0.752 -0.82 ... │ .. ..$ q3 : num [1:2704] -2.77 6.7 -2.09 -1.74 -1.24 ... │ .. ..$ q4 : num [1:2704] -5 4.89 -1.56 -2.59 -1.14 ... │ .. ..$ uniqueID: chr [1:2704] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 3241 obs. of 6 variables: │ .. ..$ subject : int [1:3241] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3241] -0.978 -0.217 0.474 1.761 2.142 ... │ .. ..$ q2 : num [1:3241] -1.264 -0.424 -0.289 1.53 -0.724 ... │ .. ..$ q3 : num [1:3241] -0.651 -0.847 3.522 7.418 2.637 ... │ .. ..$ q4 : num [1:3241] 0.489 -4.587 1.276 8.197 4.333 ... │ .. ..$ uniqueID: chr [1:3241] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2367 obs. of 6 variables: │ .. ..$ subject : int [1:2367] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2367] -0.918 1.103 -0.143 1.094 2.554 ... │ .. ..$ q2 : num [1:2367] -3.806 1.298 0.294 -2.306 2.38 ... │ .. ..$ q3 : num [1:2367] -1.89 4.05 -1.54 2.87 -2.13 ... │ .. ..$ q4 : num [1:2367] -2.92 3.53 -3.25 1.95 1.83 ... │ .. ..$ uniqueID: chr [1:2367] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 2699 obs. of 6 variables: │ .. ..$ subject : int [1:2699] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2699] 0.5694 -1.3049 -0.984 -0.0384 -0.8254 ... │ .. ..$ q2 : num [1:2699] 3.343 0.411 -0.418 1.194 3.421 ... │ .. ..$ q3 : num [1:2699] 4.21 2.04 2.23 -0.12 -1.46 ... │ .. ..$ q4 : num [1:2699] 4.847 -0.495 -3.538 -1.05 2.325 ... │ .. ..$ uniqueID: chr [1:2699] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 4847 obs. of 6 variables: │ .. ..$ subject : int [1:4847] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4847] -1.056 -1.291 0.68 0.563 -1.694 ... │ .. ..$ q2 : num [1:4847] 3.59 -1.8 -1.1 1.76 -2.7 ... │ .. ..$ q3 : num [1:4847] 1.24 -2.38 3.67 2.25 -2.34 ... │ .. ..$ q4 : num [1:4847] 2.088 0.138 4.316 3.484 -7.105 ... │ .. ..$ uniqueID: chr [1:4847] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 1007 obs. of 6 variables: │ .. ..$ subject : int [1:1007] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1007] 0.326 -0.183 1.495 -0.551 0.244 ... │ .. ..$ q2 : num [1:1007] -2.17 1.554 1.127 0.459 -0.572 ... │ .. ..$ q3 : num [1:1007] -4.05 -3.03 3.59 1.77 3.04 ... │ .. ..$ q4 : num [1:1007] -3.666 -0.134 3.037 0.828 1.099 ... │ .. ..$ uniqueID: chr [1:1007] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1412 obs. of 6 variables: │ .. ..$ subject : int [1:1412] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1412] 0.951 -2.381 -1.244 -1.876 1.088 ... │ .. ..$ q2 : num [1:1412] 2.223 0.117 -0.595 -2.547 3.839 ... │ .. ..$ q3 : num [1:1412] 0.467 -4.258 -3.761 -5.152 5.116 ... │ .. ..$ q4 : num [1:1412] 4.71 -5.43 -5.83 -10.21 6.61 ... │ .. ..$ uniqueID: chr [1:1412] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 2025 obs. of 6 variables: │ .. ..$ subject : int [1:2025] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2025] -0.813 0.762 -1.103 2.155 -0.387 ... │ .. ..$ q2 : num [1:2025] 1.125 -1.454 -1.827 2.335 0.532 ... │ .. ..$ q3 : num [1:2025] -1.498 -0.905 -2.987 3.872 -1.546 ... │ .. ..$ q4 : num [1:2025] 2.4 0.6 -3.19 5.39 -2.11 ... │ .. ..$ uniqueID: chr [1:2025] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3245 obs. of 6 variables: │ .. ..$ subject : int [1:3245] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3245] 0.79 0.502 0.474 -0.9 -0.243 ... │ .. ..$ q2 : num [1:3245] 0.0746 -0.3811 0.1811 -3.4451 -0.5975 ... │ .. ..$ q3 : num [1:3245] 4.149 -0.899 1.197 -1.271 -2.046 ... │ .. ..$ q4 : num [1:3245] 4.3836 0.0249 3.4189 -3.8089 -5.3435 ... │ .. ..$ uniqueID: chr [1:3245] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:431:2'): Clusters are generated correctly ─────── Expected output from `str(sc2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 2261 obs. of 5 variables: │ .. ..$ subject : int [1:2261] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2261] -0.02293 -0.16986 -0.06735 0.00766 -0.33712 ... │ .. ..$ q2 : num [1:2261] 0.765 -0.377 0.586 -0.742 0.11 ... │ .. ..$ q3 : num [1:2261] 10.452 -2.356 5.614 -12.559 0.155 ... │ .. ..$ uniqueID: chr [1:2261] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 3086 obs. of 5 variables: │ .. ..$ subject : int [1:3086] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3086] -0.61638 -0.00738 -0.47531 0.88698 0.33488 ... │ .. ..$ q2 : num [1:3086] -0.14 0.58 0.799 1.004 0.148 ... │ .. ..$ q3 : num [1:3086] -1.09 10.59 1.89 19.81 5.07 ... │ .. ..$ uniqueID: chr [1:3086] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 3700 obs. of 5 variables: │ .. ..$ subject : int [1:3700] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3700] -0.2146 0.1631 0.602 -0.4568 0.0474 ... │ .. ..$ q2 : num [1:3700] -0.0185 -0.4983 0.0928 -1.7743 -0.5131 ... │ .. ..$ q3 : num [1:3700] -3.67 1.21 1.28 -21.47 -6.65 ... │ .. ..$ uniqueID: chr [1:3700] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 1192 obs. of 5 variables: │ .. ..$ subject : int [1:1192] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1192] 0.4344 0.0143 0.6701 -0.4685 0.0485 ... │ .. ..$ q2 : num [1:1192] 0.101 -0.463 0.211 -0.631 -0.318 ... │ .. ..$ q3 : num [1:1192] 4.39 -7.83 4.06 -15.86 -4.18 ... │ .. ..$ uniqueID: chr [1:1192] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 1432 obs. of 5 variables: │ .. ..$ subject : int [1:1432] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1432] 0.0744 -0.0403 0.0934 -1.1462 -0.5008 ... │ .. ..$ q2 : num [1:1432] -0.106 -0.31 -0.248 -1.229 -0.668 ... │ .. ..$ q3 : num [1:1432] -4.23 -1.24 -2.83 -13.5 -10.52 ... │ .. ..$ uniqueID: chr [1:1432] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 1390 obs. of 5 variables: │ .. ..$ subject : int [1:1390] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1390] -0.4179 0.2889 0.7044 -0.1226 -0.0726 ... │ .. ..$ q2 : num [1:1390] -0.533 -0.517 0.801 -0.147 -0.197 ... │ .. ..$ q3 : num [1:1390] -10.54 -6.23 12.09 -3.15 -7.6 ... │ .. ..$ uniqueID: chr [1:1390] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 2702 obs. of 5 variables: │ .. ..$ subject : int [1:2702] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2702] -0.0289 -0.595 0.0228 -0.1814 0.3271 ... │ .. ..$ q2 : num [1:2702] 0.22 -0.172 -0.376 -1.869 0.335 ... │ .. ..$ q3 : num [1:2702] 9.18 5.41 -7.72 -30.72 12.72 ... │ .. ..$ uniqueID: chr [1:2702] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 4309 obs. of 5 variables: │ .. ..$ subject : int [1:4309] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4309] -0.123 0.575 -0.127 0.66 0.358 ... │ .. ..$ q2 : num [1:4309] -0.313 0.77 1.958 0.805 0.41 ... │ .. ..$ q3 : num [1:4309] -2.24 10.92 21.16 5.88 9.8 ... │ .. ..$ uniqueID: chr [1:4309] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 3093 obs. of 5 variables: │ .. ..$ subject : int [1:3093] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3093] -0.2914 0.3784 -0.0711 -0.3671 -0.4449 ... │ .. ..$ q2 : num [1:3093] -0.104 0.423 -0.71 0.401 -1.382 ... │ .. ..$ q3 : num [1:3093] -8.5 3.81 -10.3 3.55 -12.54 ... │ .. ..$ uniqueID: chr [1:3093] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3186 obs. of 5 variables: │ .. ..$ subject : int [1:3186] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3186] -0.2862 -0.6584 -0.9876 0.0185 0.8968 ... │ .. ..$ q2 : num [1:3186] -1.0976 -0.9623 -0.0879 0.5922 -0.0773 ... │ .. ..$ q3 : num [1:3186] -14.8926 -11.3558 -4.7039 7.9896 -0.0823 ... │ .. ..$ uniqueID: chr [1:3186] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:432:2'): Clusters are generated correctly ─────── Expected output from `str(sc3)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1457 obs. of 5 variables: │ .. ..$ subject : int [1:1457] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1457] -0.1327 0.3334 -0.0748 -0.0431 -0.2015 ... │ .. ..$ q2 : num [1:1457] -0.539 0.192 0.237 -0.331 -0.397 ... │ .. ..$ q3 : num [1:1457] 0.497 14.28 -2.557 1.527 -4.383 ... │ .. ..$ uniqueID: chr [1:1457] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2405 obs. of 5 variables: │ .. ..$ subject : int [1:2405] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2405] 0.23 0.312 -0.237 -0.284 0.136 ... │ .. ..$ q2 : num [1:2405] 0.593 1.028 -0.886 -0.313 -0.18 ... │ .. ..$ q3 : num [1:2405] 4.11 8.11 -4.01 -6.2 3.04 ... │ .. ..$ uniqueID: chr [1:2405] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 3985 obs. of 5 variables: │ .. ..$ subject : int [1:3985] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3985] 0.04 0.391 -0.174 0.168 0.497 ... │ .. ..$ q2 : num [1:3985] -0.491 0.21 -0.171 0.448 1.008 ... │ .. ..$ q3 : num [1:3985] -2.46 15.73 -7.35 0.96 10.44 ... │ .. ..$ uniqueID: chr [1:3985] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 3890 obs. of 5 variables: │ .. ..$ subject : int [1:3890] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3890] -0.2167 -0.0603 -0.0474 -0.0725 0.1215 ... │ .. ..$ q2 : num [1:3890] -0.2154 -0.1789 -0.1096 -0.5885 -0.0471 ... │ .. ..$ q3 : num [1:3890] -5.062 2.461 -1.497 -5.626 -0.431 ... │ .. ..$ uniqueID: chr [1:3890] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 2815 obs. of 5 variables: │ .. ..$ subject : int [1:2815] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2815] 0.40616 -0.38211 -0.00598 0.10064 0.38295 ... │ .. ..$ q2 : num [1:2815] 0.5578 -0.1908 -0.0305 0.207 0.7062 ... │ .. ..$ q3 : num [1:2815] 9.743 -9.742 0.309 -1.395 7.402 ... │ .. ..$ uniqueID: chr [1:2815] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 1340 obs. of 5 variables: │ .. ..$ subject : int [1:1340] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1340] -0.2329 0.221 0.0957 0.1022 0.0197 ... │ .. ..$ q2 : num [1:1340] -0.264 0.758 -0.141 -0.217 -0.64 ... │ .. ..$ q3 : num [1:1340] -8.177 0.13 2.471 0.241 1.42 ... │ .. ..$ uniqueID: chr [1:1340] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 1758 obs. of 5 variables: │ .. ..$ subject : int [1:1758] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1758] 0.457 -0.256 -0.213 -0.141 0.191 ... │ .. ..$ q2 : num [1:1758] 0.9346 0.2959 -1.2364 -0.0373 0.7268 ... │ .. ..$ q3 : num [1:1758] 1.172 -5.918 0.598 -3.64 2.877 ... │ .. ..$ uniqueID: chr [1:1758] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1356 obs. of 5 variables: │ .. ..$ subject : int [1:1356] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1356] 0.2883 0.1262 0.0893 0.2044 -0.2112 ... │ .. ..$ q2 : num [1:1356] 0.5691 0.3387 -0.7824 0.0342 -0.3465 ... │ .. ..$ q3 : num [1:1356] 2.86 4.2 7.14 3.89 -6.26 ... │ .. ..$ uniqueID: chr [1:1356] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 3226 obs. of 5 variables: │ .. ..$ subject : int [1:3226] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3226] -0.223 0.183 -0.256 0.366 -0.219 ... │ .. ..$ q2 : num [1:3226] -0.46 0.595 -0.162 -0.11 -0.324 ... │ .. ..$ q3 : num [1:3226] -2.22 1.77 -7.02 3.26 -5.21 ... │ .. ..$ uniqueID: chr [1:3226] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 2698 obs. of 5 variables: │ .. ..$ subject : int [1:2698] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2698] 0.1267 0.0388 -0.0868 0.0421 0.2113 ... │ .. ..$ q2 : num [1:2698] 0.2668 -0.5171 -0.7511 -0.0788 0.3773 ... │ .. ..$ q3 : num [1:2698] 3.85 4.84 -1.17 5.29 4.82 ... │ .. ..$ uniqueID: chr [1:2698] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:433:2'): Clusters are generated correctly ─────── Expected output from `str(sc4)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 4 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 0.0733 0.4662 6.3742 8.8611 -10.2771 ... │ .. ..$ q2 : num [1:1997] -0.89 -1.49 1.939 1.729 -0.958 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 4 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 5.755 5.896 18.901 0.395 -1.805 ... │ .. ..$ q2 : num [1:2062] 2.161 -0.493 3.467 -0.398 0.833 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 4 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 1.5761 4.1529 3.8642 0.0149 -6.5328 ... │ .. ..$ q2 : num [1:2963] 0.616 0.623 0.443 0.85 -1.39 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 4 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] -17.088 0.476 -4.064 -1.947 -1.183 ... │ .. ..$ q2 : num [1:2321] -1.48 -1.035 -1.112 -0.669 -0.736 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 4 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] -0.517 0.185 8.303 2.834 -2.732 ... │ .. ..$ q2 : num [1:4082] -1.1536 0.1955 0.2842 -0.1673 0.0587 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 4 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] -2.53 -1.16 -1.69 -7.85 4.11 ... │ .. ..$ q2 : num [1:3505] -1.489 -0.601 -0.542 -0.429 2.587 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 4 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] -5.12 -18.55 8.18 16.43 1.7 ... │ .. ..$ q2 : num [1:3914] -1.32 -2.76 1.42 3.76 -1.38 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 4 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 1.247 -0.907 -9.794 12.388 -5.378 ... │ .. ..$ q2 : num [1:1155] 0.156 2.686 -1.551 2.187 -0.657 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 4 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] -4.77 -9.73 -3.42 -5.6 3.18 ... │ .. ..$ q2 : num [1:1504] 0.389 0.197 0.3 -0.648 0.615 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 4 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 10.869 -9.323 -8.141 -2.833 -0.459 ... │ .. ..$ q2 : num [1:3229] 1.6322 1.4901 -0.0941 -0.0664 -0.4253 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:434:2'): Clusters are generated correctly ─────── Expected output from `str(sc1_2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 4011 obs. of 6 variables: │ .. ..$ subject : int [1:4011] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4011] 0.1543 0.1709 1.326 0.7009 -0.0596 ... │ .. ..$ q2 : num [1:4011] -0.6414 2.1908 1.7656 -0.7639 -0.0716 ... │ .. ..$ q3 : num [1:4011] 3.437 3.744 2.219 -2.919 -0.799 ... │ .. ..$ q4 : num [1:4011] -0.947 5.847 3.5 -0.675 2.162 ... │ .. ..$ uniqueID: chr [1:4011] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 1062 obs. of 6 variables: │ .. ..$ subject : int [1:1062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1062] 1.82 -1.964 0.676 -0.307 -1.491 ... │ .. ..$ q2 : num [1:1062] 3.2921 -2.118 -0.0111 -0.1012 -2.15 ... │ .. ..$ q3 : num [1:1062] 3.6794 -4.5968 0.0265 -0.5312 -1.9901 ... │ .. ..$ q4 : num [1:1062] 6.707 -3.685 -1.085 0.603 -2.703 ... │ .. ..$ uniqueID: chr [1:1062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 3095 obs. of 6 variables: │ .. ..$ subject : int [1:3095] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3095] -0.0345 -0.3032 1.9437 -2.1356 0.7365 ... │ .. ..$ q2 : num [1:3095] 1.15 -1.67 1.47 -2.88 2.72 ... │ .. ..$ q3 : num [1:3095] -1.25 -3.48 -1.61 -1.31 7.18 ... │ .. ..$ q4 : num [1:3095] 0.298 -1.172 2.822 -2.662 6.935 ... │ .. ..$ uniqueID: chr [1:3095] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 1079 obs. of 6 variables: │ .. ..$ subject : int [1:1079] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1079] 0.512 -2.515 -0.812 1.859 0.993 ... │ .. ..$ q2 : num [1:1079] 0.549 -2.907 -3.045 -0.385 0.629 ... │ .. ..$ q3 : num [1:1079] -0.3015 -3.3026 -5.5105 2.5023 0.0856 ... │ .. ..$ q4 : num [1:1079] 2.033 -5.661 -9.421 0.977 0.957 ... │ .. ..$ uniqueID: chr [1:1079] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4069 obs. of 6 variables: │ .. ..$ subject : int [1:4069] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4069] 1.228 0.943 -0.282 -0.642 1.525 ... │ .. ..$ q2 : num [1:4069] -1.87809 0.91924 -1.06653 0.24484 -0.00997 ... │ .. ..$ q3 : num [1:4069] 3.8955 0.017 -0.0108 3.4562 3.8795 ... │ .. ..$ q4 : num [1:4069] 4.443 0.596 -3.753 -0.767 2.876 ... │ .. ..$ uniqueID: chr [1:4069] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 1265 obs. of 6 variables: │ .. ..$ subject : int [1:1265] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1265] 0.3855 0.082 -0.0743 0.5645 1.2545 ... │ .. ..$ q2 : num [1:1265] 2.4458 2.7692 -2.2542 0.0955 -1.5667 ... │ .. ..$ q3 : num [1:1265] -0.7541 5.341 -3.6277 0.0609 1.4506 ... │ .. ..$ q4 : num [1:1265] 3.679 6.701 -1.722 0.735 0.228 ... │ .. ..$ uniqueID: chr [1:1265] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 2015 obs. of 6 variables: │ .. ..$ subject : int [1:2015] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2015] 0.304 -1.257 1.038 0.626 1.002 ... │ .. ..$ q2 : num [1:2015] 0.679 -0.314 -1.148 -1.809 0.712 ... │ .. ..$ q3 : num [1:2015] -2.72 -1.69 -2.41 -2.45 -2.62 ... │ .. ..$ q4 : num [1:2015] -2.993 -4.72 -3.891 -3.135 -0.575 ... │ .. ..$ uniqueID: chr [1:2015] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1195 obs. of 6 variables: │ .. ..$ subject : int [1:1195] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1195] -1.518 -1.317 0.987 -0.634 -1.698 ... │ .. ..$ q2 : num [1:1195] -0.2829 0.00823 -0.5957 0.6461 1.44882 ... │ .. ..$ q3 : num [1:1195] -1.632 -2.429 1.023 0.448 0.244 ... │ .. ..$ q4 : num [1:1195] -0.775 -3.422 2.614 -0.583 0.207 ... │ .. ..$ uniqueID: chr [1:1195] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 2652 obs. of 6 variables: │ .. ..$ subject : int [1:2652] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2652] -2.106 -0.319 0.864 -1.481 -0.298 ... │ .. ..$ q2 : num [1:2652] 2.651 -0.542 1.259 -2.234 -0.683 ... │ .. ..$ q3 : num [1:2652] 1.48 -7.09 2.69 -1.28 -2.18 ... │ .. ..$ q4 : num [1:2652] 3.32 -4.09 5.36 -3.75 -4.23 ... │ .. ..$ uniqueID: chr [1:2652] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 2722 obs. of 6 variables: │ .. ..$ subject : int [1:2722] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2722] -1.387 1.013 1.694 0.874 0.41 ... │ .. ..$ q2 : num [1:2722] -5.3625 2.6597 -0.0685 1.0822 -0.4126 ... │ .. ..$ q3 : num [1:2722] -6.08 -4.2 3.53 3.69 1.13 ... │ .. ..$ q4 : num [1:2722] -11.059 -0.609 2.87 4.78 0.873 ... │ .. ..$ uniqueID: chr [1:2722] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:435:2'): Clusters are generated correctly ─────── Expected output from `str(sc2_2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 0.455 0.633 -0.734 0.218 -0.396 ... │ .. ..$ q2 : num [1:1997] 0.8934 0.7745 -0.3915 -0.9287 0.0333 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 3 3 1 1 2 2 2 2 3 3 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] -0.163 -0.164 -0.101 0.354 0.186 ... │ .. ..$ q2 : num [1:2062] 0.228 -0.4482 -0.6006 -0.0322 -0.1472 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 4 1 1 1 1 2 1 3 1 1 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] -0.05787 -0.9732 1.22102 -0.1487 0.00946 ... │ .. ..$ q2 : num [1:2963] 0.708 -0.212 0.837 -1.313 0.145 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 5 1 5 1 3 1 1 2 1 1 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] -0.438 0.983 -0.379 0.834 0.347 ... │ .. ..$ q2 : num [1:2321] 0.0574 0.5167 -0.2983 -0.0248 0.6671 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 2 2 2 2 2 2 1 2 2 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 0.651 -0.131 0.653 0.264 0.126 ... │ .. ..$ q2 : num [1:4082] 0.274 -0.842 -0.407 0.666 -0.283 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 4 1 2 4 2 5 4 2 2 5 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] -0.1289 -0.2399 0.0932 0.1471 0.1091 ... │ .. ..$ q2 : num [1:3505] -1.404 -0.737 -0.868 -0.379 0.642 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 1 1 1 1 2 1 2 3 3 2 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] -0.702 -0.918 0.162 0.88 0.436 ... │ .. ..$ q2 : num [1:3914] -0.733 -0.629 -0.317 1.112 0.671 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 1 2 2 2 1 1 2 2 2 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 0.0971 0.129 0.1509 -0.4812 -1.3566 ... │ .. ..$ q2 : num [1:1155] -0.22464 0.00935 -0.53065 -0.81782 -1.28683 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 2 3 2 1 1 3 1 4 2 2 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 0.3364 -0.0198 -0.2498 0.6274 -0.0494 ... │ .. ..$ q2 : num [1:1504] -0.6162 -0.3214 -0.498 -0.0363 0.447 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 1 1 1 4 4 1 1 1 1 1 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 1.0838 0.1441 -0.589 -0.3659 -0.0683 ... │ .. ..$ q2 : num [1:3229] 0.976 -1.173 0.215 -1.65 0.259 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 3 1 3 1 1 1 1 3 3 3 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:436:2'): Clusters are generated correctly ─────── Expected output from `str(sc3_2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 0.00209 0.01332 0.18212 0.25318 -0.29363 ... │ .. ..$ q2 : num [1:1997] -0.237 -0.397 0.517 0.461 -0.256 ... │ .. ..$ q3 : num [1:1997] 3.02 3.59 11.46 4.74 -6.58 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 0.06217 -0.00796 0.14834 0.27368 0.07411 ... │ .. ..$ q2 : num [1:2062] 0.292 0.114 0.334 -0.555 0.404 ... │ .. ..$ q3 : num [1:2062] 4.65 -5.9 3.16 10.95 5.71 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 0.073 -0.234 -0.064 -0.237 -0.057 ... │ .. ..$ q2 : num [1:2963] -0.1628 -0.2276 0.3705 -0.2735 0.0946 ... │ .. ..$ q3 : num [1:2963] -4.476 -5.897 -3 -9.861 0.493 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] -0.181 -0.531 0.285 -0.254 0.298 ... │ .. ..$ q2 : num [1:2321] -0.3526 -1.034 0.7796 0.0159 0.4266 ... │ .. ..$ q3 : num [1:2321] 1.63 -9.18 11.52 -4.55 1.1 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] -0.0212 0.212 0.4666 0.3117 -0.3244 ... │ .. ..$ q2 : num [1:4082] -0.468 0.29 0.597 0.371 -0.652 ... │ .. ..$ q3 : num [1:4082] 1.33 2.21 4.48 7.84 -7.33 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 0.2125 -0.0751 0.1132 -0.1027 0.1589 ... │ .. ..$ q2 : num [1:3505] 0.257 -0.867 0.431 -0.282 -0.166 ... │ .. ..$ q3 : num [1:3505] 5.412 3.871 -0.769 0.915 1.572 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] -0.242 0.232 0.238 -0.344 0.06 ... │ .. ..$ q2 : num [1:3914] -0.2498 -0.1205 0.7442 -0.4252 -0.0244 ... │ .. ..$ q3 : num [1:3914] -7.379 -0.757 3.652 -3.544 2.284 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] -0.1828 0.3752 0.0244 0.1438 -0.0111 ... │ .. ..$ q2 : num [1:1155] 0.0985 0.4752 0.4703 0.2962 0.1856 ... │ .. ..$ q3 : num [1:1155] -0.0322 2.9944 -0.3458 2.2507 6.1238 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 0.1028 0.2819 0.0918 -0.2995 0.0776 ... │ .. ..$ q2 : num [1:1504] 0.3601 0.3188 0.5654 0.0309 -0.6529 ... │ .. ..$ q3 : num [1:1504] 0.0326 0.5979 -0.6348 -2.9928 3.4839 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] -0.0835 -0.2474 -0.186 0.1552 -0.0675 ... │ .. ..$ q2 : num [1:3229] -0.196 0.033 -0.272 0.251 -0.299 ... │ .. ..$ q3 : num [1:3229] -3.77 -1.97 -9.81 3.41 -1.36 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:437:2'): Clusters are generated correctly ─────── Expected output from `str(sc4_2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 4 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 0.0733 0.4662 6.3742 8.8611 -10.2771 ... │ .. ..$ q2 : num [1:1997] -0.89 -1.49 1.939 1.729 -0.958 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 4 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 5.755 5.896 18.901 0.395 -1.805 ... │ .. ..$ q2 : num [1:2062] 2.161 -0.493 3.467 -0.398 0.833 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 4 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 1.5761 4.1529 3.8642 0.0149 -6.5328 ... │ .. ..$ q2 : num [1:2963] 0.616 0.623 0.443 0.85 -1.39 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 4 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] -17.088 0.476 -4.064 -1.947 -1.183 ... │ .. ..$ q2 : num [1:2321] -1.48 -1.035 -1.112 -0.669 -0.736 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 4 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] -0.517 0.185 8.303 2.834 -2.732 ... │ .. ..$ q2 : num [1:4082] -1.1536 0.1955 0.2842 -0.1673 0.0587 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 4 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] -2.53 -1.16 -1.69 -7.85 4.11 ... │ .. ..$ q2 : num [1:3505] -1.489 -0.601 -0.542 -0.429 2.587 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 4 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] -5.12 -18.55 8.18 16.43 1.7 ... │ .. ..$ q2 : num [1:3914] -1.32 -2.76 1.42 3.76 -1.38 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 4 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 1.247 -0.907 -9.794 12.388 -5.378 ... │ .. ..$ q2 : num [1:1155] 0.156 2.686 -1.551 2.187 -0.657 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 4 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] -4.77 -9.73 -3.42 -5.6 3.18 ... │ .. ..$ q2 : num [1:1504] 0.389 0.197 0.3 -0.648 0.615 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 4 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 10.869 -9.323 -8.141 -2.833 -0.459 ... │ .. ..$ q2 : num [1:3229] 1.6322 1.4901 -0.0941 -0.0664 -0.4253 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:510:2'): Clusters are generated correctly ─────── Expected output from `str(csc1)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 6 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 10.01 10.07 10.91 11.27 8.53 ... │ .. ..$ q2 : num [1:1997] 18.6 17.6 22.2 21.6 19.8 ... │ .. ..$ q3 : num [1:1997] 31.1 30.5 38.9 32 28.3 ... │ .. ..$ q4 : num [1:1997] 40.3 38.5 50.3 46.1 38.4 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 6 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 11.05 9.62 8.71 10.11 10.14 ... │ .. ..$ q2 : num [1:2062] 22.1 19.3 19.8 18.5 21 ... │ .. ..$ q3 : num [1:2062] 30.8 31.7 32.8 26.2 30.6 ... │ .. ..$ q4 : num [1:2062] 43.7 40.1 42.2 38.6 43.2 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 6 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 10.33 8.74 10.81 10.52 9.46 ... │ .. ..$ q2 : num [1:2963] 17.6 21.9 18.8 20.8 20.4 ... │ .. ..$ q3 : num [1:2963] 23.6 31.3 32.8 27.3 29.6 ... │ .. ..$ q4 : num [1:2963] 34.2 45.3 42.9 37.7 39.5 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 6 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 7.94 8.59 9.5 10.11 9.55 ... │ .. ..$ q2 : num [1:2321] 18.4 16.6 22.3 19.7 19.6 ... │ .. ..$ q3 : num [1:2321] 30 25.1 36.3 30.9 31.3 ... │ .. ..$ q4 : num [1:2321] 35.4 31.2 43.7 42.1 40.1 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 6 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 7.59 9.45 10.24 8.94 11.18 ... │ .. ..$ q2 : num [1:4082] 19.3 18.6 22.2 18.3 18 ... │ .. ..$ q3 : num [1:4082] 29.4 32 35.2 32.3 28.2 ... │ .. ..$ q4 : num [1:4082] 38.1 38.6 45.7 39.8 34.3 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 6 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 11.62 9.72 8.4 9.9 9.11 ... │ .. ..$ q2 : num [1:3505] 19.2 20.7 21.2 17.8 18.4 ... │ .. ..$ q3 : num [1:3505] 30.5 26.6 31.1 29.7 30.3 ... │ .. ..$ q4 : num [1:3505] 40.1 40.1 41.9 38.2 37.6 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 6 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 8.69 10.75 9.85 10.25 9.97 ... │ .. ..$ q2 : num [1:3914] 19.1 18.4 18.7 19.6 21.3 ... │ .. ..$ q3 : num [1:3914] 28.2 25 24.2 28.6 33.4 ... │ .. ..$ q4 : num [1:3914] 36.5 35.6 33.6 42.3 43.3 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 6 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 10.18 10.29 9.19 10.81 9.52 ... │ .. ..$ q2 : num [1:1155] 22.1 19.9 19.6 20.7 21.3 ... │ .. ..$ q3 : num [1:1155] 33.1 27.4 29.4 29 29.5 ... │ .. ..$ q4 : num [1:1155] 49.1 38.5 38 43.5 38.7 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 6 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 9.4 9.79 9.73 9.38 9.1 ... │ .. ..$ q2 : num [1:1504] 18.2 21.7 21.1 16.7 19.3 ... │ .. ..$ q3 : num [1:1504] 30.1 35 31.7 25.8 29.4 ... │ .. ..$ q4 : num [1:1504] 37.2 45.4 44.9 34.2 40.7 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 6 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 10.18 10.57 9.49 9.92 10.26 ... │ .. ..$ q2 : num [1:3229] 21.6 21.1 22.3 21.2 19.8 ... │ .. ..$ q3 : num [1:3229] 29.9 35.1 36.7 32 24.9 ... │ .. ..$ q4 : num [1:3229] 43.1 43.1 49.1 42 38.4 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:511:2'): Clusters are generated correctly ─────── Expected output from `str(csc2)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 95.6 101.3 97.6 99.9 98.4 ... │ .. ..$ q2 : Factor w/ 3 levels "1","2","3": 1 1 3 2 3 3 3 3 3 3 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 1 2 3 3 3 3 5 5 5 4 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 99.4 102.1 101.1 101.9 100.2 ... │ .. ..$ q2 : Factor w/ 5 levels "1","2","3","4",..: 1 3 3 2 1 5 1 1 5 1 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 1 1 1 1 1 2 1 1 2 1 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 99.1 100.1 95.6 98.4 98.3 ... │ .. ..$ q2 : Factor w/ 5 levels "1","2","3","4",..: 1 4 2 3 4 1 1 3 5 5 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 1 2 1 2 2 1 1 1 2 2 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 97.9 101.9 97.8 98 102.8 ... │ .. ..$ q2 : Factor w/ 2 levels "1","2": 2 2 1 2 2 2 2 2 2 2 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 2 4 1 3 3 2 3 3 2 2 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 101.9 102.3 100.6 98 95.2 ... │ .. ..$ q2 : Factor w/ 5 levels "1","2","3","4",..: 1 3 2 2 1 1 1 5 2 3 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 1 2 2 2 1 1 1 3 2 2 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 98 92.7 105.4 100.6 95.7 ... │ .. ..$ q2 : Factor w/ 5 levels "1","2","3","4",..: 3 1 4 4 1 3 5 5 5 4 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 2 1 4 1 1 1 3 4 4 3 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 99.7 100.8 92.4 103.2 99.3 ... │ .. ..$ q2 : Factor w/ 2 levels "1","2": 1 1 1 1 1 1 2 1 1 1 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 2 2 1 3 3 3 3 3 1 1 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 107.8 101.6 100.6 97.8 103 ... │ .. ..$ q2 : Factor w/ 4 levels "1","2","3","4": 4 4 1 4 4 4 1 1 2 4 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 5 5 1 5 5 5 1 1 1 5 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 95.8 102.9 100.8 99.5 99.4 ... │ .. ..$ q2 : Factor w/ 2 levels "1","2": 1 2 2 1 2 2 1 2 2 1 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 2 2 1 2 2 1 2 2 1 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 102.1 102 95.1 100.1 94.7 ... │ .. ..$ q2 : Factor w/ 3 levels "1","2","3": 3 3 2 3 3 3 1 2 3 3 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 2 1 2 1 1 1 1 1 2 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:512:2'): Clusters are generated correctly ─────── Expected output from `str(csc3)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 5 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 102.7 103.8 95.6 101.3 97.6 ... │ .. ..$ q2 : num [1:1997] 155 155 147 145 150 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 3 3 1 3 1 3 1 1 3 3 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 5 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 99 99 99.4 102.1 101.1 ... │ .. ..$ q2 : num [1:2062] 151 147 147 150 149 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 3 1 2 2 1 2 3 1 1 1 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 5 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 99.7 94.2 107.3 99.1 100.1 ... │ .. ..$ q2 : num [1:2963] 154 148 155 143 151 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 5 1 5 4 3 1 1 1 1 5 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 5 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 97.4 105.9 97.7 105 102.1 ... │ .. ..$ q2 : num [1:2321] 150 153 148 150 154 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 2 2 2 2 2 2 2 2 2 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 5 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 103.9 99.2 103.9 101.6 100.8 ... │ .. ..$ q2 : num [1:4082] 152 145 148 154 149 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 5 2 4 4 4 5 2 2 4 2 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 5 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 99.2 98.6 100.6 100.9 100.7 ... │ .. ..$ q2 : num [1:3505] 142 146 145 148 154 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 2 1 2 2 1 2 3 3 3 1 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 5 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 95.8 94.5 101 105.3 102.6 ... │ .. ..$ q2 : num [1:3914] 146 146 148 157 154 ... │ .. ..$ q3 : Factor w/ 2 levels "1","2": 2 1 2 2 2 1 1 2 2 2 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 5 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 100.6 100.8 100.9 97.1 91.9 ... │ .. ..$ q2 : num [1:1155] 149 150 147 145 142 ... │ .. ..$ q3 : Factor w/ 4 levels "1","2","3","4": 2 3 2 1 1 4 1 4 1 3 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 5 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 102 99.9 98.5 103.8 99.7 ... │ .. ..$ q2 : num [1:1504] 147 148 147 150 152 ... │ .. ..$ q3 : Factor w/ 5 levels "1","2","3","4",..: 1 3 1 5 2 2 1 3 1 1 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 5 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 106.5 100.9 96.5 97.8 99.6 ... │ .. ..$ q2 : num [1:3229] 156 144 151 141 151 ... │ .. ..$ q3 : Factor w/ 3 levels "1","2","3": 3 3 1 3 1 1 1 1 3 3 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" ── Failure ('test.HugoReport.R:513:2'): Clusters are generated correctly ─────── Expected output from `str(csc4)` to match regexp "school:List of 10". Actual output: ✖ │ List of 1 │ $ school: List of 10 │ ..$ : 'data.frame': 1997 obs. of 4 variables: │ .. ..$ subject : int [1:1997] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1997] 210 210 212 213 207 ... │ .. ..$ q2 : num [1:1997] 307 305 316 316 307 ... │ .. ..$ uniqueID: chr [1:1997] "student1_school1" "student2_school1" "student3_school1" "student4_school1" ... │ ..$ : 'data.frame': 2062 obs. of 4 variables: │ .. ..$ subject : int [1:2062] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2062] 212 212 215 210 209 ... │ .. ..$ q2 : num [1:2062] 317 308 322 309 313 ... │ .. ..$ uniqueID: chr [1:2062] "student1_school2" "student2_school2" "student3_school2" "student4_school2" ... │ ..$ : 'data.frame': 2963 obs. of 4 variables: │ .. ..$ subject : int [1:2963] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2963] 210 211 211 210 208 ... │ .. ..$ q2 : num [1:2963] 312 312 311 313 305 ... │ .. ..$ uniqueID: chr [1:2963] "student1_school3" "student2_school3" "student3_school3" "student4_school3" ... │ ..$ : 'data.frame': 2321 obs. of 4 variables: │ .. ..$ subject : int [1:2321] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:2321] 205 210 209 209 210 ... │ .. ..$ q2 : num [1:2321] 305 307 306 308 308 ... │ .. ..$ uniqueID: chr [1:2321] "student1_school4" "student2_school4" "student3_school4" "student4_school4" ... │ ..$ : 'data.frame': 4082 obs. of 4 variables: │ .. ..$ subject : int [1:4082] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:4082] 210 210 212 211 209 ... │ .. ..$ q2 : num [1:4082] 306 311 311 309 310 ... │ .. ..$ uniqueID: chr [1:4082] "student1_school5" "student2_school5" "student3_school5" "student4_school5" ... │ ..$ : 'data.frame': 3505 obs. of 4 variables: │ .. ..$ subject : int [1:3505] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3505] 209 210 210 208 211 ... │ .. ..$ q2 : num [1:3505] 305 308 308 309 319 ... │ .. ..$ uniqueID: chr [1:3505] "student1_school6" "student2_school6" "student3_school6" "student4_school6" ... │ ..$ : 'data.frame': 3914 obs. of 4 variables: │ .. ..$ subject : int [1:3914] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3914] 209 205 212 215 210 ... │ .. ..$ q2 : num [1:3914] 306 301 315 323 305 ... │ .. ..$ uniqueID: chr [1:3914] "student1_school7" "student2_school7" "student3_school7" "student4_school7" ... │ ..$ : 'data.frame': 1155 obs. of 4 variables: │ .. ..$ subject : int [1:1155] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1155] 210 210 207 214 208 ... │ .. ..$ q2 : num [1:1155] 311 319 305 317 308 ... │ .. ..$ uniqueID: chr [1:1155] "student1_school8" "student2_school8" "student3_school8" "student4_school8" ... │ ..$ : 'data.frame': 1504 obs. of 4 variables: │ .. ..$ subject : int [1:1504] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:1504] 209 207 209 208 211 ... │ .. ..$ q2 : num [1:1504] 311 311 311 308 312 ... │ .. ..$ uniqueID: chr [1:1504] "student1_school9" "student2_school9" "student3_school9" "student4_school9" ... │ ..$ : 'data.frame': 3229 obs. of 4 variables: │ .. ..$ subject : int [1:3229] 1 2 3 4 5 6 7 8 9 10 ... │ .. ..$ q1 : num [1:3229] 213 207 208 209 210 ... │ .. ..$ q2 : num [1:3229] 315 315 310 310 309 ... │ .. ..$ uniqueID: chr [1:3229] "student1_school10" "student2_school10" "student3_school10" "student4_school10" ... │ - attr(*, "class")= chr [1:2] "lsasimcluster" "list" [ FAIL 23 | WARN 1894 | SKIP 0 | PASS 498 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

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