Last updated on 2026-10-02 05:51:16 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.2.0 | 8.41 | 646.68 | 655.09 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.2.0 | 5.39 | 414.40 | 419.79 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.2.0 | 429.51 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 0.2.0 | 423.46 | OK | |||
| r-devel-windows-x86_64 | 0.2.0 | 11.00 | 360.00 | 371.00 | OK | |
| r-patched-linux-x86_64 | 0.2.0 | 9.37 | 630.01 | 639.38 | OK | |
| r-release-linux-x86_64 | 0.2.0 | 7.48 | 625.58 | 633.06 | OK | |
| r-release-macos-arm64 | 0.2.0 | 2.00 | 83.00 | 85.00 | OK | |
| r-release-macos-x86_64 | 0.2.0 | 6.00 | 571.00 | 577.00 | OK | |
| r-release-windows-x86_64 | 0.2.0 | 10.00 | 184.00 | 194.00 | ERROR | |
| r-oldrel-macos-arm64 | 0.2.0 | 2.00 | 86.00 | 88.00 | OK | |
| r-oldrel-macos-x86_64 | 0.2.0 | 6.00 | 722.00 | 728.00 | OK | |
| r-oldrel-windows-x86_64 | 0.2.0 | 12.00 | 440.00 | 452.00 | OK |
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