Last updated on 2026-10-23 09:53:39 CEST.
| Package | OK | ERROR |
|---|---|---|
| ackwards | 12 | 1 |
| circumplex | 13 | |
| datawizard | 13 | |
| intraclass | 13 | |
| rlmstudio | 13 | |
| tidymedia | 13 |
Current CRAN status: OK: 12, ERROR: 1
Version: 0.3.0
Check: tests
Result: ERROR
Running 'testthat.R' [74s]
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)... [498ms]
> 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... [280ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running Comparison Data (CD)...
> test-suggest_k.R: v Running Comparison Data (CD)... [13.8s]
> 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)... [217ms]
> 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... [142ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running Comparison Data (CD)...
> test-suggest_k.R: v Running Comparison Data (CD)... [2.8s]
> 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)... [285ms]
> 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... [116ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running Comparison Data (CD)...
> test-suggest_k.R: v Running Comparison Data (CD)... [3.2s]
> 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)... [165ms]
> 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... [171ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running Comparison Data (CD)...
> test-suggest_k.R: v Running Comparison Data (CD)... [2s]
> 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)... [125ms]
> 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... [113ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running Comparison Data (CD)...
> test-suggest_k.R: v Running Comparison Data (CD)... [1.9s]
> test-suggest_k.R:
> test-suggest_k.R: i Running MAP and VSS...
> test-suggest_k.R: v Running MAP and VSS... [99ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running MAP and VSS...
> test-suggest_k.R: v Running MAP and VSS... [117ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running MAP and VSS...
> test-suggest_k.R: v Running MAP and VSS... [122ms]
> 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)... [321ms]
> 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)... [124ms]
> 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... [144ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running Comparison Data (CD)...
> test-suggest_k.R: v Running Comparison Data (CD)... [863ms]
> 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)... [138ms]
> 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... [158ms]
> 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)... [86ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running MAP and VSS...
> test-suggest_k.R: x Running MAP and VSS... [55ms]
> 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)... [167ms]
> 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... [150ms]
> 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:
> 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)... [685ms]
> 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... [243ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running Comparison Data (CD)...
> test-suggest_k.R: v Running Comparison Data (CD)... [24.7s]
> 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)... [222ms]
> 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... [148ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running Comparison Data (CD)...
> test-suggest_k.R: v Running Comparison Data (CD)... [838ms]
> 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... [79ms]
> 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)... [223ms]
> 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)... [3s]
> test-suggest_k.R:
> test-suggest_k.R: i Running MAP and VSS...
> test-suggest_k.R: v Running MAP and VSS... [71ms]
> 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:
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-oldrel-windows-x86_64
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13