CRAN Package Check Results for Package mlr3spatiotempcv

Last updated on 2025-12-28 03:51:36 CET.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	2.3.4	17.67	374.58	392.25	OK
r-devel-linux-x86_64-debian-gcc	2.3.4	12.93	240.24	253.17	OK
r-devel-linux-x86_64-fedora-clang	2.3.4	30.00	561.56	591.56	OK
r-devel-linux-x86_64-fedora-gcc	2.3.4	30.00	598.09	628.09	OK
r-devel-windows-x86_64	2.3.4	20.00	258.00	278.00	ERROR
r-patched-linux-x86_64	2.3.4	19.15	333.73	352.88	OK
r-release-linux-x86_64	2.3.4	17.99	327.04	345.03	OK
r-release-macos-arm64	2.3.4				OK
r-release-macos-x86_64	2.3.4	13.00	247.00	260.00	OK
r-release-windows-x86_64	2.3.4	21.00	250.00	271.00	OK
r-oldrel-macos-arm64	2.3.4				OK
r-oldrel-macos-x86_64	2.3.4	13.00	249.00	262.00	OK
r-oldrel-windows-x86_64	2.3.4	27.00	339.00	366.00	OK

Check Details

Version: 2.3.4
Check: tests
Result: ERROR Running 'testthat.R' [82s] Running the tests in 'tests/testthat.R' failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("checkmate") + library("testthat") + library("mlr3spatiotempcv") + test_check("mlr3spatiotempcv") + } Loading required package: mlr3 Starting 2 test processes. > test-2-autoplot.R: INFO [17:12:25.008] Using column role 'space' ('SOURCEID') for partitioning > test-2-autoplot.R: FATAL [17:12:25.115] This method requires to set argument 'fold_id'. See ?autoplot.ResamplingSptCVCstf for more information. > test-2-autoplot.R: WARN [17:12:29.904] Unfortunately plotly does not support a dynamic arrangement of multiple subplots. > test-2-autoplot.R: See article 'Visualization of spatiotemporal clusters' (https://mlr3spatiotempcv.mlr-org.com/articles/spatiotemp-viz) for a manual workaround. > test-2-autoplot.R: Use the objects in the returned list to arrange a custom grid. > test-2-autoplot.R: > test-2-autoplot.R: ERROR [17:12:31.427] Neither 'time' or 'plot' column roles are set. At least one is required for 3D plotting. If the variable is only used for plotting purposes, please define argument 'plot_time_var' in `autoplot()` and remove the column role 'feature' for this variable. > test-2-autoplot.R: WARN [17:12:35.118] Unfortunately plotly does not support a dynamic arrangement of multiple subplots. > test-2-autoplot.R: See article 'Visualization of spatiotemporal clusters' (https://mlr3spatiotempcv.mlr-org.com/articles/spatiotemp-viz) for a manual workaround. > test-2-autoplot.R: Use the objects in the returned list to arrange a custom grid. > test-2-autoplot.R: > test-2-autoplot.R: [[1]] > test-2-autoplot.R: > test-2-autoplot.R: [[2]] > test-2-autoplot.R: > test-2-autoplot.R: [[1]] > test-2-autoplot.R: > test-2-autoplot.R: [[2]] > test-2-autoplot.R: > test-2-autoplot.R: INFO [17:12:40.363] Using column roles 'space' ('SOURCEID') and 'time' ('Date') for partitioning > test-2-autoplot.R: INFO [17:12:40.592] Using column roles 'space' ('SOURCEID') and 'time' ('Date') for partitioning > test-2-autoplot.R: FATAL [17:12:40.833] This method requires to set argument 'fold_id'. See ?autoplot.ResamplingSptCVCstf for more information. > test-2-autoplot.R: WARN [17:12:44.627] Unfortunately plotly does not support a dynamic arrangement of multiple subplots. > test-2-autoplot.R: See article 'Visualization of spatiotemporal clusters' (https://mlr3spatiotempcv.mlr-org.com/articles/spatiotemp-viz) for a manual workaround. > test-2-autoplot.R: Use the objects in the returned list to arrange a custom grid. > test-2-autoplot.R: > test-2-autoplot.R: [[1]] > test-2-autoplot.R: > test-2-autoplot.R: [[2]] > test-2-autoplot.R: > test-2-autoplot.R: [[1]] > test-2-autoplot.R: > test-2-autoplot.R: [[2]] > test-1-autoplot.R: Spherical geometry (s2) switched off > test-1-autoplot.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-1-autoplot.R: are planar > test-1-autoplot.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-1-autoplot.R: are planar > test-1-autoplot.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-1-autoplot.R: are planar > test-1-autoplot.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-1-autoplot.R: are planar > test-1-autoplot.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-1-autoplot.R: are planar > test-1-autoplot.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-1-autoplot.R: are planar > test-2-autoplot.R: > test-2-autoplot.R: INFO [17:12:58.539] Using column roles 'space' ('SOURCEID') and 'time' ('Date') for partitioning > test-ResamplingRepeatedSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingRepeatedSpCVBlock.R: are planar > test-ResamplingRepeatedSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingRepeatedSpCVBlock.R: are planar > test-ResamplingRepeatedSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingRepeatedSpCVBlock.R: are planar > test-ResamplingRepeatedSpCVBlock.R: This function is deprecated! Please use 'cv_spatial' instead. > test-ResamplingRepeatedSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingRepeatedSpCVBlock.R: are planar > test-ResamplingRepeatedSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingRepeatedSpCVBlock.R: are planar > test-ResamplingRepeatedSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingRepeatedSpCVBlock.R: are planar > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:16.414] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:16.495] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:16.524] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:16.540] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:16.556] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:16.763] Using column role 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:16.782] Using column role 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:16.801] Using column role 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:16.819] Using column role 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:16.835] Using column role 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.061] Using column roles 'space' ('polygon') and 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.093] Using column roles 'space' ('polygon') and 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.126] Using column roles 'space' ('polygon') and 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.160] Using column roles 'space' ('polygon') and 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.195] Using column roles 'space' ('polygon') and 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.540] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.681] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.699] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.717] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.733] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.747] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.949] Using column role 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.960] Using column role 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.974] Using column role 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.987] Using column role 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:17.998] Using column role 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:18.197] Using column roles 'space' ('polygon') and 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:18.237] Using column roles 'space' ('polygon') and 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:18.272] Using column roles 'space' ('polygon') and 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:18.298] Using column roles 'space' ('polygon') and 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:18.328] Using column roles 'space' ('polygon') and 'time' ('day') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:18.618] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:18.741] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:18.758] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:18.772] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:18.788] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:18.800] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:19.015] Using column role 'space' ('polygon') for partitioning > test-ResamplingRepeatedSptCVCstf.R: INFO [17:13:19.067] Using column role 'time' ('day') for partitioning Saving _problems/test-ResamplingRepeatedSptCVCstf-144.R Saving _problems/test-ResamplingRepeatedSptCVCstf-407.R > test-ResamplingSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingSpCVBlock.R: are planar > test-ResamplingSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingSpCVBlock.R: are planar > test-ResamplingSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingSpCVBlock.R: are planar > test-ResamplingSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingSpCVBlock.R: are planar > test-ResamplingSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingSpCVBlock.R: are planar > test-ResamplingSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingSpCVBlock.R: are planar > test-ResamplingSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingSpCVBlock.R: are planar > test-ResamplingSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingSpCVBlock.R: are planar > test-ResamplingSpCVBlock.R: although coordinates are longitude/latitude, st_intersects assumes that they > test-ResamplingSpCVBlock.R: are planar > test-ResamplingSptCVCstf.R: INFO [17:13:27.578] Using column role 'space' ('polygon') for partitioning > test-ResamplingSptCVCstf.R: INFO [17:13:27.641] Using column role 'time' ('day') for partitioning > test-ResamplingSptCVCstf.R: INFO [17:13:27.696] Using column roles 'space' ('polygon') and 'time' ('day') for partitioning > test-ResamplingSptCVCstf.R: INFO [17:13:27.795] Using column role 'space' ('polygon') for partitioning > test-ResamplingSptCVCstf.R: INFO [17:13:27.900] Using column role 'space' ('polygon') for partitioning > test-ResamplingSptCVCstf.R: INFO [17:13:27.973] Using column role 'time' ('day') for partitioning > test-ResamplingSptCVCstf.R: INFO [17:13:28.046] Using column roles 'space' ('polygon') and 'time' ('day') for partitioning > test-ResamplingSptCVCstf.R: INFO [17:13:28.179] Using column role 'space' ('polygon') for partitioning > test-ResamplingSptCVCstf.R: INFO [17:13:28.275] Using column role 'space' ('polygon') for partitioning > test-ResamplingSptCVCstf.R: INFO [17:13:28.346] Using column role 'space' ('polygon') for partitioning > test-ResamplingSptCVCstf.R: INFO [17:13:28.388] Using column role 'time' ('day') for partitioning Saving _problems/test-ResamplingSptCVCstf-144.R Saving _problems/test-ResamplingSptCVCstf-407.R Saving _problems/test-autotuner-38.R [ FAIL 5 | WARN 1 | SKIP 24 | PASS 972 ] ══ Skipped tests (24) ══════════════════════════════════════════════════════════ • On CRAN (19): 'test-1-autoplot.R:20:1', 'test-1-autoplot.R:50:1', 'test-1-autoplot.R:79:1', 'test-1-autoplot.R:105:1', 'test-1-autoplot.R:142:1', 'test-1-autoplot.R:162:1', 'test-1-autoplot.R:203:1', 'test-1-autoplot.R:234:1', 'test-1-autoplot.R:268:3', 'test-1-autoplot.R:291:1', 'test-1-autoplot.R:322:1', 'test-1-autoplot.R:353:1', 'test-2-autoplot.R:84:1', 'test-2-autoplot.R:143:1', 'test-2-autoplot.R:189:1', 'test-2-autoplot.R:209:1', 'test-2-autoplot.R:304:1', 'test-2-autoplot.R:356:1', 'test-autoplot_buffer.R:3:1' • On Windows (2): 'test-2-autoplot.R:9:3', 'test-2-autoplot.R:55:3' • empty test (1): 'test-helper-DataBackend.R:1:1' • {raster} is not installed (1): 'test-mlr3pipelines-graph-integration.R:4:3' • {skmeans} is not installed (1): 'test-mlr_sptcv_generic.R:70:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-ResamplingRepeatedSptCVCstf.R:144:3'): stratify on target and group by space works ── Error in ``[.data.table`(group_space, , `:=`(fold_space, shuffle(seq_len0(.N)%%folds + 1)), by = target)`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─resampling$instantiate(task) at test-ResamplingRepeatedSptCVCstf.R:144:3 2. └─mlr3spatiotempcv:::.__ResamplingRepeatedSptCVCstf__instantiate(...) 3. └─private$.sample(task) 4. └─mlr3spatiotempcv:::.__ResamplingRepeatedSptCVCstf__.sample(...) 5. └─mlr3misc::map(...) 6. └─base::lapply(.x, .f, ...) 7. └─mlr3spatiotempcv (local) FUN(X[[i]], ...) 8. └─mlr3spatiotempcv:::sample_cast(task, pv$stratify, pv$folds) 9. ├─...[] 10. └─data.table:::`[.data.table`(...) ── Error ('test-ResamplingRepeatedSptCVCstf.R:407:3'): stratify on target and group by space works with multiple observations within space unit ── Error in ``[.data.table`(group_space, , `:=`(fold_space, shuffle(seq_len0(.N)%%folds + 1)), by = target)`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─resampling$instantiate(task) at test-ResamplingRepeatedSptCVCstf.R:407:3 2. └─mlr3spatiotempcv:::.__ResamplingRepeatedSptCVCstf__instantiate(...) 3. └─private$.sample(task) 4. └─mlr3spatiotempcv:::.__ResamplingRepeatedSptCVCstf__.sample(...) 5. └─mlr3misc::map(...) 6. └─base::lapply(.x, .f, ...) 7. └─mlr3spatiotempcv (local) FUN(X[[i]], ...) 8. └─mlr3spatiotempcv:::sample_cast(task, pv$stratify, pv$folds) 9. ├─...[] 10. └─data.table:::`[.data.table`(...) ── Error ('test-ResamplingSptCVCstf.R:144:3'): stratify on target and group by space works ── Error in ``[.data.table`(group_space, , `:=`(fold_space, shuffle(seq_len0(.N)%%folds + 1)), by = target)`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─resampling$instantiate(task) at test-ResamplingSptCVCstf.R:144:3 2. └─mlr3spatiotempcv:::.__ResamplingSptCVCstf__instantiate(...) 3. └─private$.sample(task) 4. └─mlr3spatiotempcv:::.__ResamplingSptCVCstf__.sample(...) 5. └─mlr3spatiotempcv:::sample_cast(task, pv$stratify, pv$folds) 6. ├─...[] 7. └─data.table:::`[.data.table`(...) ── Error ('test-ResamplingSptCVCstf.R:407:3'): stratify on target and group by space works with multiple observations within space unit ── Error in ``[.data.table`(group_space, , `:=`(fold_space, shuffle(seq_len0(.N)%%folds + 1)), by = target)`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─resampling$instantiate(task) at test-ResamplingSptCVCstf.R:407:3 2. └─mlr3spatiotempcv:::.__ResamplingSptCVCstf__instantiate(...) 3. └─private$.sample(task) 4. └─mlr3spatiotempcv:::.__ResamplingSptCVCstf__.sample(...) 5. └─mlr3spatiotempcv:::sample_cast(task, pv$stratify, pv$folds) 6. ├─...[] 7. └─data.table:::`[.data.table`(...) ── Error ('test-autotuner.R:38:3'): AutoTuner works with sptcv methods ───────── Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT Backtrace: ▆ 1. └─mlr3::benchmark(grid) at test-autotuner.R:38:3 2. └─mlr3:::future_map(...) 3. └─future.apply::future_mapply(...) 4. └─future.apply:::future_xapply(...) 5. └─base::tryCatch(...) 6. └─base (local) tryCatchList(expr, classes, parentenv, handlers) 7. └─base (local) tryCatchOne(...) 8. └─value[[3L]](cond) 9. └─future.apply:::onError(e, futures = fs, debug = debug) [ FAIL 5 | WARN 1 | SKIP 24 | PASS 972 ] Deleting unused snapshots: '1-autoplot/autoplot-show-blocks-true-show-labels-true.svg', '2-autoplot/repsptcvcstf-2d-space-var-fold-1-2-rep-2.svg', '2-autoplot/repsptcvcstf-2d-space-var-fold-1-rep-2.svg', '2-autoplot/sptcvcstf-2d-space-var-all-test-sets.svg', '2-autoplot/sptcvcstf-2d-space-var-fold-1-2.svg', '2-autoplot/sptcvcstf-2d-space-var-fold-1.svg', '2-autoplot/sptcvcstf-2d-time-var-all-test-sets.svg', '2-autoplot/sptcvcstf-2d-time-var-fold-1-2-rep-2.svg', '2-autoplot/sptcvcstf-2d-time-var-fold-1-2-sample-fold-n.svg', '2-autoplot/sptcvcstf-2d-time-var-fold-1-2.svg', '2-autoplot/sptcvcstf-2d-time-var-fold-1-rep-2.svg', '2-autoplot/sptcvcstf-2d-time-var-fold-1-sample-fold-n.svg', '2-autoplot/sptcvcstf-2d-time-var-fold-1.svg', and '2-autoplot/sptcvcstf-2d-time-var-sample-fold-n.svg' Error: ! Test failures. Execution halted Flavor: r-devel-windows-x86_64