CRAN Package Check Results for Maintainer ‘Jeffrey M. Girard <me at jmgirard.com>’

Last updated on 2026-10-15 05:59:14 CEST.

Package	OK	ERROR
ackwards	12	1
circumplex	13
intraclass	13
rlmstudio	13
tidymedia	11

Package ackwards

Current CRAN status: OK: 12, ERROR: 1

Version: 0.2.0
Check: tests
Result: ERROR Running 'testthat.R' [61s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(ackwards) > > test_check("ackwards") Starting 2 test processes. > test-suggest_k.R: i Running parallel analysis (5 iterations, PC + FA)... > test-suggest_k.R: i PA-PC suggested 6 components -- above the evaluated ceiling (`k_max` = 3); reporting k <= 3. > test-suggest_k.R: i Increase `k_max` to evaluate the full suggestion. > test-suggest_k.R: i PA-FA suggested 6 factors -- above the evaluated ceiling (`k_max` = 3); reporting k <= 3. > test-suggest_k.R: i Increase `k_max` to evaluate the full suggestion. > test-suggest_k.R: v Running parallel analysis (5 iterations, PC + FA)... [318ms] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: CD: 364 rows with missing values removed (2436 complete cases used). > test-suggest_k.R: v Running MAP and VSS... [239ms] > test-suggest_k.R: > test-suggest_k.R: i Running Comparison Data (CD)... > test-suggest_k.R: v Running Comparison Data (CD)... [11.9s] > test-suggest_k.R: > test-suggest_k.R: i Running parallel analysis (5 iterations, PC + FA)... > test-suggest_k.R: v Running parallel analysis (5 iterations, PC + FA)... [156ms] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: CD: 54 rows with missing values removed (946 complete cases used). > test-suggest_k.R: v Running MAP and VSS... [104ms] > test-suggest_k.R: > test-suggest_k.R: i Running Comparison Data (CD)... > test-suggest_k.R: v Running Comparison Data (CD)... [2.6s] > test-suggest_k.R: > test-suggest_k.R: i Running parallel analysis (5 iterations, PC + FA)... > test-suggest_k.R: i PA-PC suggested 3 components -- above the evaluated ceiling (`k_max` = 2); reporting k <= 2. > test-suggest_k.R: i Increase `k_max` to evaluate the full suggestion. > test-suggest_k.R: i PA-FA suggested 5 factors -- above the evaluated ceiling (`k_max` = 2); reporting k <= 2. > test-suggest_k.R: i Increase `k_max` to evaluate the full suggestion. > test-suggest_k.R: v Running parallel analysis (5 iterations, PC + FA)... [213ms] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: CD: 86 rows with missing values removed (914 complete cases used). > test-suggest_k.R: v Running MAP and VSS... [84ms] > test-suggest_k.R: > test-suggest_k.R: i Running Comparison Data (CD)... > test-suggest_k.R: v Running Comparison Data (CD)... [3s] > test-suggest_k.R: > test-suggest_k.R: i Running parallel analysis (3 iterations, PC + FA)... > test-suggest_k.R: v Running parallel analysis (3 iterations, PC + FA)... [115ms] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: CD: 54 rows with missing values removed (946 complete cases used). > test-suggest_k.R: v Running MAP and VSS... [95ms] > test-suggest_k.R: > test-suggest_k.R: i Running Comparison Data (CD)... > test-suggest_k.R: v Running Comparison Data (CD)... [1.8s] > test-suggest_k.R: > test-suggest_k.R: i Running parallel analysis (3 iterations, PC + FA)... > test-suggest_k.R: v Running parallel analysis (3 iterations, PC + FA)... [116ms] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: CD: 54 rows with missing values removed (946 complete cases used). > test-suggest_k.R: v Running MAP and VSS... [110ms] > test-suggest_k.R: > test-suggest_k.R: i Running Comparison Data (CD)... > test-suggest_k.R: v Running Comparison Data (CD)... [1.7s] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: v Running MAP and VSS... [97ms] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: v Running MAP and VSS... [93ms] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: v Running MAP and VSS... [90ms] > test-suggest_k.R: > test-suggest_k.R: i Running parallel analysis (5 iterations, PC + FA)... > test-suggest_k.R: i PA-FA suggested 4 factors -- above the evaluated ceiling (`k_max` = 2); reporting k <= 2. > test-suggest_k.R: i Increase `k_max` to evaluate the full suggestion. > test-suggest_k.R: v Running parallel analysis (5 iterations, PC + FA)... [212ms] > test-suggest_k.R: > test-suggest_k.R: i Running parallel analysis (3 iterations, PC + FA)... > test-suggest_k.R: v Running parallel analysis (3 iterations, PC + FA)... [85ms] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: CD: 41 rows with missing values removed (959 complete cases used). > test-suggest_k.R: v Running MAP and VSS... [116ms] > test-suggest_k.R: > test-suggest_k.R: i Running Comparison Data (CD)... > test-suggest_k.R: v Running Comparison Data (CD)... [848ms] > test-suggest_k.R: > test-suggest_k.R: i Running parallel analysis (3 iterations, PC + FA)... > test-suggest_k.R: v Running parallel analysis (3 iterations, PC + FA)... [101ms] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: i CD requires EFAtools (install to enable). > test-suggest_k.R: v Running MAP and VSS... [118ms] > test-suggest_k.R: > test-suggest_k.R: i Running parallel analysis (3 iterations, PC + FA)... > test-suggest_k.R: In smc, smcs < 0 were set to .0 > test-suggest_k.R: In smc, smcs < 0 were set to .0 > test-suggest_k.R: In smc, smcs < 0 were set to .0 > test-suggest_k.R: In factor.scores, the correlation matrix is singular, the pseudo inverse is used > test-suggest_k.R: In smc, smcs < 0 were set to .0 > test-suggest_k.R: In smc, smcs < 0 were set to .0 > test-suggest_k.R: In factor.scores, the correlation matrix is singular, the pseudo inverse is used > test-suggest_k.R: In smc, smcs < 0 were set to .0 > test-suggest_k.R: In smc, smcs < 0 were set to .0 > test-suggest_k.R: In factor.scores, the correlation matrix is singular, the pseudo inverse is used > test-suggest_k.R: In smc, smcs < 0 were set to .0 > test-suggest_k.R: In smc, smcs < 0 were set to .0 > test-suggest_k.R: In factor.scores, the correlation matrix is singular, the pseudo inverse is used > test-suggest_k.R: v Running parallel analysis (3 iterations, PC + FA)... [60ms] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: x Running MAP and VSS... [38ms] > test-suggest_k.R: > test-suggest_k.R: i Running parallel analysis (3 iterations, PC + FA)... > test-suggest_k.R: v Running parallel analysis (3 iterations, PC + FA)... [101ms] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: CD: 64 rows with missing values removed (936 complete cases used). > test-suggest_k.R: v Running MAP and VSS... [97ms] > test-suggest_k.R: > test-suggest_k.R: i Running Comparison Data (CD)... > test-suggest_k.R: v Running Comparison Data (CD)... [2.5s] > test-suggest_k.R: > test-suggest_k.R: > test-suggest_k.R: -- Factor / Component Count Suggestion (ackwards) ------------------------------ > test-suggest_k.R: Variables: 8 > test-suggest_k.R: n: 1,000 > test-suggest_k.R: Basis: pearson > test-suggest_k.R: Tested k: 1-4 > test-suggest_k.R: > test-suggest_k.R: -- Criteria (k = 1-4) -- > test-suggest_k.R: > test-suggest_k.R: k PA-PC PA-FA MAP VSS-1 VSS-2 CD > test-suggest_k.R: 1 v v 0.0427* 0.6224 0.0000 v > test-suggest_k.R: 2 v v 0.0522 0.7305* 0.7981 v > test-suggest_k.R: 3 - v 0.0971 0.6415 0.8407 v* > test-suggest_k.R: 4 - - 0.1577 0.6451 0.8510* - > test-suggest_k.R: v retained * optimal k - not retained > test-suggest_k.R: > test-suggest_k.R: -- Recommendations -- > test-suggest_k.R: > test-suggest_k.R: * PA-PC: k <= 2 > test-suggest_k.R: * PA-FA: k <= 3 > test-suggest_k.R: * MAP: k = 1 > test-suggest_k.R: * VSS-1: k = 2 > test-suggest_k.R: * VSS-2: k = 4 > test-suggest_k.R: * CD: k = 3 > test-suggest_k.R: Consensus range: k = 1-4 > test-suggest_k.R: -------------------------------------------------------------------------------- > test-suggest_k.R: Note: k_max in ackwards() is a maximum depth. Setting k_max one or two levels > test-suggest_k.R: above the consensus to observe factor fragmentation is intentional. > test-suggest_k.R: Caution: PA-PC tends to overextract; structures may not replicate (Forbes, > test-suggest_k.R: 2023). PA-FA and CD are more conservative. Use the range. > test-suggest_k.R: > test-suggest_k.R: -- Factor / Component Count Suggestion (ackwards) ------------------------------ > test-suggest_k.R: Variables: 8 > test-suggest_k.R: n: 1,000 > test-suggest_k.R: Basis: pearson > test-suggest_k.R: Tested k: 1-4 > test-suggest_k.R: > test-suggest_k.R: -- Criteria (k = 1-4) -- > test-suggest_k.R: > test-suggest_k.R: k PA-PC PA-FA MAP VSS-1 VSS-2 CD > test-suggest_k.R: 1 v v 0.0427* 0.6224 0.0000 v > test-suggest_k.R: 2 v v 0.0522 0.7305* 0.7981 v > test-suggest_k.R: 3 - v 0.0971 0.6415 0.8407 v* > test-suggest_k.R: 4 - - 0.1577 0.6451 0.8510* - > test-suggest_k.R: v retained * optimal k - not retained > test-suggest_k.R: > test-suggest_k.R: -- Recommendations -- > test-suggest_k.R: > test-suggest_k.R: * PA-PC: k <= 2 > test-suggest_k.R: * PA-FA: k <= 3 > test-suggest_k.R: * MAP: k = 1 > test-suggest_k.R: * VSS-1: k = 2 > test-suggest_k.R: * VSS-2: k = 4 > test-suggest_k.R: * CD: k = 3 > test-suggest_k.R: Consensus range: k = 1-4 > test-suggest_k.R: -------------------------------------------------------------------------------- > test-suggest_k.R: Note: k_max in ackwards() is a maximum depth. Setting k_max one or two levels > test-suggest_k.R: above the consensus to observe factor fragmentation is intentional. > test-suggest_k.R: Caution: PA-PC tends to overextract; structures may not replicate (Forbes, > test-suggest_k.R: 2023). PA-FA and CD are more conservative. Use the range. > test-suggest_k.R: > test-suggest_k.R: -- Factor / Component Count Suggestion (ackwards) ------------------------------ > test-suggest_k.R: Variables: 8 > test-suggest_k.R: n: 1,000 > test-suggest_k.R: Basis: pearson > test-suggest_k.R: Tested k: 1-4 > test-suggest_k.R: > test-suggest_k.R: -- Criteria (k = 1-4) -- > test-suggest_k.R: > test-suggest_k.R: k PA-PC PA-FA MAP VSS-1 VSS-2 CD > test-suggest_k.R: 1 v - 0.0427* 0.6224 0.0000 v > test-suggest_k.R: 2 v - 0.0522 0.7305* 0.7981 v > test-suggest_k.R: 3 - - 0.0971 0.6415 0.8407 v* > test-suggest_k.R: 4 - - 0.1577 0.6451 0.8510* - > test-suggest_k.R: v retained * optimal k - not retained > test-suggest_k.R: > test-suggest_k.R: -- Recommendations -- > test-suggest_k.R: > test-suggest_k.R: * PA-PC: k <= 2 > test-suggest_k.R: * PA-FA: undetermined (no FA factor exceeded random threshold) > test-suggest_k.R: * MAP: k = 1 > test-suggest_k.R: * VSS-1: k = 2 > test-suggest_k.R: * VSS-2: k = 4 > test-suggest_k.R: * CD: k = 3 > test-suggest_k.R: Consensus range: k = 1-4 > test-suggest_k.R: -------------------------------------------------------------------------------- > test-suggest_k.R: Note: k_max in ackwards() is a maximum depth. Setting k_max one or two levels > test-suggest_k.R: above the consensus to observe factor fragmentation is intentional. > test-suggest_k.R: Caution: PA-PC tends to overextract; structures may not replicate (Forbes, > test-suggest_k.R: 2023). PA-FA and CD are more conservative. Use the range. > test-suggest_k.R: > test-suggest_k.R: -- Factor / Component Count Suggestion (ackwards) ------------------------------ > test-suggest_k.R: Variables: 8 > test-suggest_k.R: n: 1,000 > test-suggest_k.R: Basis: pearson > test-suggest_k.R: Tested k: 1-4 > test-suggest_k.R: > test-suggest_k.R: -- Criteria (k = 1-4) -- > test-suggest_k.R: > test-suggest_k.R: k PA-PC PA-FA MAP VSS-1 VSS-2 CD > test-suggest_k.R: 1 v - 0.0427* 0.6224 0.0000 v > test-suggest_k.R: 2 v - 0.0522 0.7305* 0.7981 v > test-suggest_k.R: 3 - - 0.0971 0.6415 0.8407 v* > test-suggest_k.R: 4 - - 0.1577 0.6451 0.8510* - > test-suggest_k.R: v retained * optimal k - not retained > test-suggest_k.R: > test-suggest_k.R: -- Recommendations -- > test-suggest_k.R: > test-suggest_k.R: * PA-PC: k <= 2 > test-suggest_k.R: * PA-FA: undetermined (no FA factor exceeded random threshold) > test-suggest_k.R: * MAP: k = 1 > test-suggest_k.R: * VSS-1: k = 2 > test-suggest_k.R: * VSS-2: k = 4 > test-suggest_k.R: * CD: k = 3 > test-suggest_k.R: Consensus range: k = 1-4 > test-suggest_k.R: -------------------------------------------------------------------------------- > test-suggest_k.R: Note: k_max in ackwards() is a maximum depth. Setting k_max one or two levels > test-suggest_k.R: above the consensus to observe factor fragmentation is intentional. > test-suggest_k.R: Caution: PA-PC tends to overextract; structures may not replicate (Forbes, > test-suggest_k.R: 2023). PA-FA and CD are more conservative. Use the range. > test-suggest_k.R: i Running parallel analysis (20 iterations, PC + FA)... > test-suggest_k.R: v Running parallel analysis (20 iterations, PC + FA)... [674ms] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: CD: 125 rows with missing values removed (875 complete cases used). > test-suggest_k.R: v Running MAP and VSS... [136ms] > test-suggest_k.R: > test-suggest_k.R: i Running Comparison Data (CD)... > test-esem.R: > test-esem.R: -- Bass-Ackwards Analysis (ackwards) ------------------------------------------- > test-esem.R: Engine: esem > test-esem.R: Rotation: varimax > test-esem.R: Basis: pearson > test-esem.R: n: 200 > test-esem.R: k (max): 3 > test-esem.R: > test-esem.R: -- Levels -- > test-esem.R: > test-esem.R: v k = 1: 1 factor, 43.0% variance > test-esem.R: v k = 2: 2 factors, 85.2% variance > test-esem.R: v k = 3: 3 factors, 87.8% variance > test-esem.R: > test-esem.R: -- Edges -- > test-esem.R: > test-esem.R: 3 of 8 edges have |r| >= 0.3 > test-esem.R: -------------------------------------------------------------------------------- > test-esem.R: Note: This is a series of linked solutions, not a fitted hierarchical model. > test-esem.R: Cross-level edges are descriptive score correlations. Per-level fit indices > test-esem.R: (EFA/ESEM) describe how well a k-factor model fits the items at that level -- > test-esem.R: they do not validate the edges or the hierarchy itself. > test-suggest_k.R: v Running Comparison Data (CD)... [20.2s] > test-suggest_k.R: > test-suggest_k.R: > test-suggest_k.R: -- Factor / Component Count Suggestion (ackwards) ------------------------------ > test-suggest_k.R: Variables: 8 > test-suggest_k.R: n: 1,000 > test-suggest_k.R: Basis: pearson > test-suggest_k.R: Tested k: 1-4 > test-suggest_k.R: > test-suggest_k.R: -- Criteria (k = 1-4) -- > test-suggest_k.R: > test-suggest_k.R: k PA-PC PA-FA MAP VSS-1 VSS-2 > test-suggest_k.R: 1 v v 0.0427* 0.6224 0.0000 > test-suggest_k.R: 2 v v 0.0522 0.7305* 0.7981 > test-suggest_k.R: 3 - v 0.0971 0.6415 0.8407 > test-suggest_k.R: 4 - - 0.1577 0.6451 0.8510* > test-suggest_k.R: v retained * optimal k - not retained > test-suggest_k.R: + CD requires EFAtools (install to enable). > test-suggest_k.R: > test-suggest_k.R: -- Recommendations -- > test-suggest_k.R: > test-suggest_k.R: * PA-PC: k <= 2 > test-suggest_k.R: * PA-FA: k <= 3 > test-suggest_k.R: * MAP: k = 1 > test-suggest_k.R: * VSS-1: k = 2 > test-suggest_k.R: * VSS-2: k = 4 > test-suggest_k.R: Consensus range: k = 1-4 > test-suggest_k.R: -------------------------------------------------------------------------------- > test-suggest_k.R: Note: k_max in ackwards() is a maximum depth. Setting k_max one or two levels > test-suggest_k.R: above the consensus to observe factor fragmentation is intentional. > test-suggest_k.R: Caution: PA-PC tends to overextract; structures may not replicate (Forbes, > test-suggest_k.R: 2023). PA-FA and CD are more conservative. Use the range. > test-suggest_k.R: > test-suggest_k.R: -- Factor / Component Count Suggestion (ackwards) ------------------------------ > test-suggest_k.R: Variables: 8 > test-suggest_k.R: n: 1,000 > test-suggest_k.R: Basis: pearson > test-suggest_k.R: Tested k: 1-4 > test-suggest_k.R: > test-suggest_k.R: -- Criteria (k = 1-4) -- > test-suggest_k.R: > test-suggest_k.R: k PA-PC PA-FA MAP VSS-1 VSS-2 > test-suggest_k.R: 1 v v 0.0427* 0.6224 0.0000 > test-suggest_k.R: 2 v v 0.0522 0.7305* 0.7981 > test-suggest_k.R: 3 - v 0.0971 0.6415 0.8407 > test-suggest_k.R: 4 - - 0.1577 0.6451 0.8510* > test-suggest_k.R: v retained * optimal k - not retained > test-suggest_k.R: + CD requires EFAtools (install to enable). > test-suggest_k.R: > test-suggest_k.R: -- Recommendations -- > test-suggest_k.R: > test-suggest_k.R: * PA-PC: k <= 2 > test-suggest_k.R: * PA-FA: k <= 3 > test-suggest_k.R: * MAP: k = 1 > test-suggest_k.R: * VSS-1: k = 2 > test-suggest_k.R: * VSS-2: k = 4 > test-suggest_k.R: Consensus range: k = 1-4 > test-suggest_k.R: -------------------------------------------------------------------------------- > test-suggest_k.R: Note: k_max in ackwards() is a maximum depth. Setting k_max one or two levels > test-suggest_k.R: above the consensus to observe factor fragmentation is intentional. > test-suggest_k.R: Caution: PA-PC tends to overextract; structures may not replicate (Forbes, > test-suggest_k.R: 2023). PA-FA and CD are more conservative. Use the range. > test-suggest_k.R: i Running parallel analysis (3 iterations, PC + FA)... > test-suggest_k.R: i PA-FA suggested 3 factors -- above the evaluated ceiling (`k_max` = 2); reporting k <= 2. > test-suggest_k.R: i Increase `k_max` to evaluate the full suggestion. > test-suggest_k.R: v Running parallel analysis (3 iterations, PC + FA)... [126ms] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: CD: 41 rows with missing values removed (959 complete cases used). > test-suggest_k.R: v Running MAP and VSS... [111ms] > test-suggest_k.R: > test-suggest_k.R: i Running Comparison Data (CD)... > test-suggest_k.R: v Running Comparison Data (CD)... [870ms] > test-suggest_k.R: > test-suggest_k.R: > test-suggest_k.R: -- Factor / Component Count Suggestion (ackwards) ------------------------------ > test-suggest_k.R: Variables: 8 > test-suggest_k.R: n: 1,000 > test-suggest_k.R: Basis: pearson > test-suggest_k.R: Tested k: 1-4 > test-suggest_k.R: > test-suggest_k.R: -- Criteria (k = 1-4) -- > test-suggest_k.R: > test-suggest_k.R: k PA-PC PA-FA MAP VSS-1 VSS-2 CD > test-suggest_k.R: 1 v v 0.0427* 0.6224 0.0000 v* > test-suggest_k.R: 2 v v 0.0522 0.7305* 0.7981 - > test-suggest_k.R: 3 - v 0.0971 0.6415 0.8407 - > test-suggest_k.R: 4 - - 0.1577 0.6451 0.8510* - > test-suggest_k.R: v retained * optimal k - not retained > test-suggest_k.R: > test-suggest_k.R: -- Recommendations -- > test-suggest_k.R: > test-suggest_k.R: * PA-PC: k <= 2 > test-suggest_k.R: * PA-FA: k <= 3 > test-suggest_k.R: * MAP: k = 1 > test-suggest_k.R: * VSS-1: k = 2 > test-suggest_k.R: * VSS-2: k = 4 > test-suggest_k.R: * CD: k = 1 > test-suggest_k.R: Consensus range: k = 1-4 > test-suggest_k.R: -------------------------------------------------------------------------------- > test-suggest_k.R: Note: k_max in ackwards() is a maximum depth. Setting k_max one or two levels > test-suggest_k.R: above the consensus to observe factor fragmentation is intentional. > test-suggest_k.R: Caution: PA-PC tends to overextract; structures may not replicate (Forbes, > test-suggest_k.R: 2023). PA-FA and CD are more conservative. Use the range. > test-suggest_k.R: > test-suggest_k.R: -- Factor / Component Count Suggestion (ackwards) ------------------------------ > test-suggest_k.R: Variables: 8 > test-suggest_k.R: n: 1,000 > test-suggest_k.R: Basis: pearson > test-suggest_k.R: Tested k: 1-4 > test-suggest_k.R: > test-suggest_k.R: -- Criteria (k = 1-4) -- > test-suggest_k.R: > test-suggest_k.R: k PA-PC PA-FA MAP VSS-1 VSS-2 CD > test-suggest_k.R: 1 v v 0.0427* 0.6224 0.0000 v* > test-suggest_k.R: 2 v v 0.0522 0.7305* 0.7981 - > test-suggest_k.R: 3 - v 0.0971 0.6415 0.8407 - > test-suggest_k.R: 4 - - 0.1577 0.6451 0.8510* - > test-suggest_k.R: v retained * optimal k - not retained > test-suggest_k.R: > test-suggest_k.R: -- Recommendations -- > test-suggest_k.R: > test-suggest_k.R: * PA-PC: k <= 2 > test-suggest_k.R: * PA-FA: k <= 3 > test-suggest_k.R: * MAP: k = 1 > test-suggest_k.R: * VSS-1: k = 2 > test-suggest_k.R: * VSS-2: k = 4 > test-suggest_k.R: * CD: k = 1 > test-suggest_k.R: Consensus range: k = 1-4 > test-suggest_k.R: -------------------------------------------------------------------------------- > test-suggest_k.R: Note: k_max in ackwards() is a maximum depth. Setting k_max one or two levels > test-suggest_k.R: above the consensus to observe factor fragmentation is intentional. > test-suggest_k.R: Caution: PA-PC tends to overextract; structures may not replicate (Forbes, > test-suggest_k.R: 2023). PA-FA and CD are more conservative. Use the range. > test-suggest_k.R: > test-suggest_k.R: -- Factor / Component Count Suggestion (ackwards) ------------------------------ > test-suggest_k.R: Variables: 8 > test-suggest_k.R: n: 1,000 > test-suggest_k.R: Basis: pearson > test-suggest_k.R: Tested k: 1-4 > test-suggest_k.R: > test-suggest_k.R: -- Criteria (k = 1-4) -- > test-suggest_k.R: > test-suggest_k.R: k PA-PC PA-FA MAP VSS-1 VSS-2 > test-suggest_k.R: 1 v v 0.0427 0.6224 0.0000 > test-suggest_k.R: 2 v v 0.0522* 0.7305* 0.7981* > test-suggest_k.R: 3 - v 0.0971 0.6415 0.8407 > test-suggest_k.R: 4 - - 0.1577 0.6451 0.8510 > test-suggest_k.R: v retained * optimal k - not retained > test-suggest_k.R: + CD requires EFAtools (install to enable). > test-suggest_k.R: > test-suggest_k.R: -- Recommendations -- > test-suggest_k.R: > test-suggest_k.R: * PA-PC: k <= 2 > test-suggest_k.R: * PA-FA: k <= 2 > test-suggest_k.R: * MAP: k = 2 > test-suggest_k.R: * VSS-1: k = 2 > test-suggest_k.R: * VSS-2: k = 2 > test-suggest_k.R: Consensus: k = 2 > test-suggest_k.R: -------------------------------------------------------------------------------- > test-suggest_k.R: Note: k_max in ackwards() is a maximum depth. Setting k_max one or two levels > test-suggest_k.R: above the consensus to observe factor fragmentation is intentional. > test-suggest_k.R: Caution: PA-PC tends to overextract; structures may not replicate (Forbes, > test-suggest_k.R: 2023). PA-FA and CD are more conservative. Use the range. > test-suggest_k.R: > test-suggest_k.R: -- Factor / Component Count Suggestion (ackwards) ------------------------------ > test-suggest_k.R: Variables: 8 > test-suggest_k.R: n: 1,000 > test-suggest_k.R: Basis: pearson > test-suggest_k.R: Tested k: 1-4 > test-suggest_k.R: > test-suggest_k.R: -- Criteria (k = 1-4) -- > test-suggest_k.R: > test-suggest_k.R: k PA-PC PA-FA MAP VSS-1 VSS-2 > test-suggest_k.R: 1 v v 0.0427 0.6224 0.0000 > test-suggest_k.R: 2 v v 0.0522* 0.7305* 0.7981* > test-suggest_k.R: 3 - v 0.0971 0.6415 0.8407 > test-suggest_k.R: 4 - - 0.1577 0.6451 0.8510 > test-suggest_k.R: v retained * optimal k - not retained > test-suggest_k.R: + CD requires EFAtools (install to enable). > test-suggest_k.R: > test-suggest_k.R: -- Recommendations -- > test-suggest_k.R: > test-suggest_k.R: * PA-PC: k <= 2 > test-suggest_k.R: * PA-FA: k <= 2 > test-suggest_k.R: * MAP: k = 2 > test-suggest_k.R: * VSS-1: k = 2 > test-suggest_k.R: * VSS-2: k = 2 > test-suggest_k.R: Consensus: k = 2 > test-suggest_k.R: -------------------------------------------------------------------------------- > test-suggest_k.R: Note: k_max in ackwards() is a maximum depth. Setting k_max one or two levels > test-suggest_k.R: above the consensus to observe factor fragmentation is intentional. > test-suggest_k.R: Caution: PA-PC tends to overextract; structures may not replicate (Forbes, > test-suggest_k.R: 2023). PA-FA and CD are more conservative. Use the range. > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: v Running MAP and VSS... [47ms] > test-suggest_k.R: > test-suggest_k.R: i Running parallel analysis (5 iterations, PC + FA)... > test-suggest_k.R: v Running parallel analysis (5 iterations, PC + FA)... [121ms] > test-suggest_k.R: > test-suggest_k.R: CD: 54 rows with missing values removed (946 complete cases used). > test-suggest_k.R: i Running Comparison Data (CD)... > test-suggest_k.R: v Running Comparison Data (CD)... [2.1s] > test-suggest_k.R: > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: v Running MAP and VSS... [44ms] > test-suggest_k.R: > test-suggest_k.R: > test-suggest_k.R: -- Factor / Component Count Suggestion (ackwards) ------------------------------ > test-suggest_k.R: Variables: 8 > test-suggest_k.R: n: 1,000 > test-suggest_k.R: Basis: pearson > test-suggest_k.R: Tested k: 1-4 > test-suggest_k.R: > test-suggest_k.R: -- Criteria (k = 1-4) -- > test-suggest_k.R: > test-suggest_k.R: k VSS-1 VSS-2 > test-suggest_k.R: 1 0.6224 0.0000 > test-suggest_k.R: 2 0.7305* 0.7981 > test-suggest_k.R: 3 0.6415 0.8407 > test-suggest_k.R: 4 0.6451 0.8510* > test-suggest_k.R: * optimal k > test-suggest_k.R: > test-suggest_k.R: -- Recommendations -- > test-suggest_k.R: > test-suggest_k.R: * VSS-1: k = 2 > test-suggest_k.R: * VSS-2: k = 4 > test-suggest_k.R: Consensus range: k = 2-4 > test-suggest_k.R: -------------------------------------------------------------------------------- > test-suggest_k.R: Note: k_max in ackwards() is a maximum depth. Setting k_max one or two levels > test-suggest_k.R: above the consensus to observe factor fragmentation is intentional. > test-suggest_k.R: Caution: PA-PC tends to overextract; structures may not replicate (Forbes, > test-suggest_k.R: 2023). PA-FA and CD are more conservative. Use the range. > test-suggest_k.R: i Running MAP and VSS... > test-suggest_k.R: v Running MAP and VSS... [41ms] > test-suggest_k.R: > test-suggest_k.R: i Running parallel analysis (3 iterations, PC + FA)... > test-suggest_k.R: v Running parallel analysis (3 iterations, PC + FA)... [90ms] > test-suggest_k.R: > test-suggest_k.R: Error: ! testthat subprocess exited in file 'test-suggest_k.R'. Caused by error: ! R session crashed with exit code -1073741819 Backtrace: ▆ 1. └─testthat::test_check("ackwards") 2. └─testthat::test_dir(...) 3. └─testthat:::test_files(...) 4. └─testthat:::test_files_parallel(...) 5. ├─withr::with_dir(...) 6. │ └─base::force(code) 7. ├─testthat::with_reporter(...) 8. │ └─base::tryCatch(...) 9. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 10. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 11. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 12. └─testthat:::parallel_event_loop_chunky(queue, reporters, ".") 13. └─queue$poll(Inf) 14. └─base::lapply(...) 15. └─testthat (local) FUN(X[[i]], ...) 16. └─private$handle_error(msg, i) 17. └─cli::cli_abort(...) 18. └─rlang::abort(...) Execution halted Flavor: r-release-windows-x86_64

Package circumplex

Current CRAN status: OK: 13

Package intraclass

Current CRAN status: OK: 13

Package rlmstudio

Current CRAN status: OK: 13

Package tidymedia

Current CRAN status: OK: 11