Last updated on 2026-08-04 02:50:21 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.2.0 | 8.09 | 647.75 | 655.84 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.2.0 | 5.57 | 414.57 | 420.14 | NOTE | |
| r-devel-linux-x86_64-fedora-clang | 0.2.0 | 14.00 | 772.54 | 786.54 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 0.2.0 | 392.09 | OK | |||
| r-devel-windows-x86_64 | 0.2.0 | 10.00 | 343.00 | 353.00 | OK | |
| r-patched-linux-x86_64 | 0.2.0 | 8.79 | 619.76 | 628.55 | OK | |
| r-release-linux-x86_64 | 0.2.0 | 6.61 | 634.25 | 640.86 | 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 | 9.00 | 351.00 | 360.00 | OK | |
| 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 | 13.00 | 354.00 | 367.00 | ERROR |
Version: 0.2.0
Check: for new files in some other directories
Result: NOTE
Found the following files/directories:
‘~/tmp/scratch/Rtmp01iToy’ ‘~/tmp/scratch/Rtmp0R6wlI’
‘~/tmp/scratch/Rtmp0sb0LC’ ‘~/tmp/scratch/Rtmp1Qy65g’
‘~/tmp/scratch/Rtmp1mhzDh’ ‘~/tmp/scratch/Rtmp1uUGxF’
‘~/tmp/scratch/Rtmp2EXCLN’ ‘~/tmp/scratch/Rtmp2lTiUj’
‘~/tmp/scratch/Rtmp2w3TXo’ ‘~/tmp/scratch/Rtmp2xEY8w’
‘~/tmp/scratch/Rtmp2yjLzY’ ‘~/tmp/scratch/Rtmp3AfHZs’
‘~/tmp/scratch/Rtmp3sS9lT’ ‘~/tmp/scratch/Rtmp3uR0aW’
‘~/tmp/scratch/Rtmp42xPuL’ ‘~/tmp/scratch/Rtmp50e0JR’
‘~/tmp/scratch/Rtmp5ArcLB’ ‘~/tmp/scratch/Rtmp5R7UnJ’
‘~/tmp/scratch/Rtmp5W1FxL’ ‘~/tmp/scratch/Rtmp5fDcqx’
‘~/tmp/scratch/Rtmp6Tby0A’ ‘~/tmp/scratch/Rtmp6UilJL’
‘~/tmp/scratch/Rtmp6aJ5Kx’ ‘~/tmp/scratch/Rtmp6cCl6c’
‘~/tmp/scratch/Rtmp8AMtZu’ ‘~/tmp/scratch/Rtmp8nClwE’
‘~/tmp/scratch/RtmpAAhvV7’ ‘~/tmp/scratch/RtmpAYR9Id’
‘~/tmp/scratch/RtmpAy3qjE’ ‘~/tmp/scratch/RtmpB30kG8’
‘~/tmp/scratch/RtmpBOxTud’ ‘~/tmp/scratch/RtmpBVt2Yc’
‘~/tmp/scratch/RtmpBd6c1W’ ‘~/tmp/scratch/RtmpBxsZXv’
‘~/tmp/scratch/RtmpC2c7ZJ’ ‘~/tmp/scratch/RtmpCqNRfB’
‘~/tmp/scratch/RtmpDXHROA’ ‘~/tmp/scratch/RtmpDblBAk’
‘~/tmp/scratch/RtmpE9Ihqy’ ‘~/tmp/scratch/RtmpESJlk9’
‘~/tmp/scratch/RtmpETFtCJ’ ‘~/tmp/scratch/RtmpEeAwMX’
‘~/tmp/scratch/RtmpEeqTcy’ ‘~/tmp/scratch/RtmpEv8OTg’
‘~/tmp/scratch/RtmpFPmA1Q’ ‘~/tmp/scratch/RtmpFS0I09’
‘~/tmp/scratch/RtmpGKfQ45’ ‘~/tmp/scratch/RtmpGUMVOP’
‘~/tmp/scratch/RtmpHlD7k7’ ‘~/tmp/scratch/RtmpJ2CRJa’
‘~/tmp/scratch/RtmpJcYJIn’ ‘~/tmp/scratch/RtmpJnAjc3’
‘~/tmp/scratch/RtmpKB1sxT’ ‘~/tmp/scratch/RtmpKBdJCN’
‘~/tmp/scratch/RtmpKNY4vO’ ‘~/tmp/scratch/RtmpKOlq7L’
‘~/tmp/scratch/RtmpKRH4ZU’ ‘~/tmp/scratch/RtmpKyVlTj’
‘~/tmp/scratch/RtmpLEznk5’ ‘~/tmp/scratch/RtmpLXEm99’
‘~/tmp/scratch/RtmpM3rAm4’ ‘~/tmp/scratch/RtmpMm6cFA’
‘~/tmp/scratch/RtmpNAO15F’ ‘~/tmp/scratch/RtmpNLTxk8’
‘~/tmp/scratch/RtmpO5ZCcD’ ‘~/tmp/scratch/RtmpONPgm0’
‘~/tmp/scratch/RtmpOtkfkp’ ‘~/tmp/scratch/RtmpOvem98’
‘~/tmp/scratch/RtmpPJd141’ ‘~/tmp/scratch/RtmpQKNe2k’
‘~/tmp/scratch/RtmpQmKV5H’ ‘~/tmp/scratch/RtmpRm6BzE’
‘~/tmp/scratch/RtmpRxr8nn’ ‘~/tmp/scratch/RtmpSOB7sK’
‘~/tmp/scratch/RtmpSQRW7P’ ‘~/tmp/scratch/RtmpSjZbu0’
‘~/tmp/scratch/RtmpSqFw2l’ ‘~/tmp/scratch/RtmpTgbX36’
‘~/tmp/scratch/RtmpTjJJ2B’ ‘~/tmp/scratch/RtmpVBJMel’
‘~/tmp/scratch/RtmpVYdmj4’ ‘~/tmp/scratch/RtmpVcwG7Z’
‘~/tmp/scratch/RtmpVeNlm3’ ‘~/tmp/scratch/RtmpVhNmjG’
‘~/tmp/scratch/RtmpVol8L1’ ‘~/tmp/scratch/RtmpWSzHEz’
‘~/tmp/scratch/RtmpWspdtv’ ‘~/tmp/scratch/RtmpX9utOn’
‘~/tmp/scratch/RtmpXgKOjN’ ‘~/tmp/scratch/RtmpYHxXGP’
‘~/tmp/scratch/RtmpZIvd0e’ ‘~/tmp/scratch/RtmpZo2sa2’
‘~/tmp/scratch/RtmpZy8iO8’ ‘~/tmp/scratch/Rtmpa3eTND’
‘~/tmp/scratch/RtmpaF4HRU’ ‘~/tmp/scratch/RtmpaN5hXx’
‘~/tmp/scratch/Rtmpb9bHtQ’ ‘~/tmp/scratch/RtmpbBALuy’
‘~/tmp/scratch/RtmpcsQr0P’ ‘~/tmp/scratch/Rtmpcsreps’
‘~/tmp/scratch/Rtmpczw73d’ ‘~/tmp/scratch/RtmpdFy2mE’
‘~/tmp/scratch/RtmpdYR1Db’ ‘~/tmp/scratch/RtmpdlOgtr’
‘~/tmp/scratch/RtmpdnHmTP’ ‘~/tmp/scratch/Rtmpexax86’
‘~/tmp/scratch/RtmpextZSy’ ‘~/tmp/scratch/Rtmpf4X5GW’
‘~/tmp/scratch/RtmpfO0WHb’ ‘~/tmp/scratch/RtmpfVcwId’
‘~/tmp/scratch/RtmpfVusOx’ ‘~/tmp/scratch/RtmpgaWCAG’
‘~/tmp/scratch/RtmpgbIdp4’ ‘~/tmp/scratch/RtmphIVV7E’
‘~/tmp/scratch/RtmphInXYa’ ‘~/tmp/scratch/Rtmphk2yNG’
‘~/tmp/scratch/RtmphsXOPe’ ‘~/tmp/scratch/Rtmpi6Y4s9’
‘~/tmp/scratch/RtmpiMRvM6’ ‘~/tmp/scratch/RtmpiPAGcb’
‘~/tmp/scratch/RtmpiPjfg3’ ‘~/tmp/scratch/Rtmpiauetw’
‘~/tmp/scratch/Rtmpj6zJ0W’ ‘~/tmp/scratch/Rtmpj9mD4z’
‘~/tmp/scratch/RtmpjqyDs9’ ‘~/tmp/scratch/RtmpjuTcqN’
‘~/tmp/scratch/Rtmpk8kBOQ’ ‘~/tmp/scratch/RtmpkL0FLK’
‘~/tmp/scratch/RtmpkYBJLs’ ‘~/tmp/scratch/RtmpkyZfhq’
‘~/tmp/scratch/RtmplM6qy8’ ‘~/tmp/scratch/RtmpmAZZWo’
‘~/tmp/scratch/RtmpmO2ApW’ ‘~/tmp/scratch/Rtmpn2E0UD’
‘~/tmp/scratch/Rtmpn2deYi’ ‘~/tmp/scratch/RtmpnP2CD1’
‘~/tmp/scratch/RtmpnxZE34’ ‘~/tmp/scratch/RtmpovQ0oz’
‘~/tmp/scratch/RtmppfXbfz’ ‘~/tmp/scratch/RtmppnkxFK’
‘~/tmp/scratch/Rtmpq3nu6e’ ‘~/tmp/scratch/Rtmpq3oEMx’
‘~/tmp/scratch/RtmpqVm7EE’ ‘~/tmp/scratch/RtmprK3KWm’
‘~/tmp/scratch/RtmprMKDBP’ ‘~/tmp/scratch/Rtmprt6btr’
‘~/tmp/scratch/RtmpsG9jkd’ ‘~/tmp/scratch/RtmpsPCpGr’
‘~/tmp/scratch/RtmpsoipAD’ ‘~/tmp/scratch/RtmpsrQtdH’
‘~/tmp/scratch/RtmptFBJGG’ ‘~/tmp/scratch/Rtmpu9KZq1’
‘~/tmp/scratch/RtmpuIrk5f’ ‘~/tmp/scratch/RtmpuSbNHP’
‘~/tmp/scratch/RtmpuozPB9’ ‘~/tmp/scratch/RtmpuuR4Ct’
‘~/tmp/scratch/RtmpvB2JpX’ ‘~/tmp/scratch/RtmpvJ8AFe’
‘~/tmp/scratch/RtmpwOWfxV’ ‘~/tmp/scratch/Rtmpwaz6E4’
‘~/tmp/scratch/RtmpwbdGbK’ ‘~/tmp/scratch/Rtmpwtf5vR’
‘~/tmp/scratch/Rtmpx3yIpi’ ‘~/tmp/scratch/RtmpxFGes4’
‘~/tmp/scratch/RtmpxgUSZn’ ‘~/tmp/scratch/RtmpxpIzyw’
‘~/tmp/scratch/Rtmpy5qUFc’ ‘~/tmp/scratch/RtmpyfZc6G’
‘~/tmp/scratch/RtmpytwpTb’ ‘~/tmp/scratch/Rtmpz1iDFd’
‘~/tmp/scratch/RtmpzKlWCV’ ‘~/tmp/scratch/RtmpzRLMSF’
‘~/tmp/scratch/RtmpzgScmL’ ‘~/tmp/scratch/Rtmpzh9eLT’
‘~/tmp/scratch/xvfb-run.043fXX’ ‘~/tmp/scratch/xvfb-run.2HKY98’
‘~/tmp/scratch/xvfb-run.2RYnbf’ ‘~/tmp/scratch/xvfb-run.3igHTG’
‘~/tmp/scratch/xvfb-run.3xRSPw’ ‘~/tmp/scratch/xvfb-run.4vWEmd’
‘~/tmp/scratch/xvfb-run.5cVQrH’ ‘~/tmp/scratch/xvfb-run.7h7hvZ’
‘~/tmp/scratch/xvfb-run.8Gya3A’ ‘~/tmp/scratch/xvfb-run.8TKuH0’
‘~/tmp/scratch/xvfb-run.8aESAv’ ‘~/tmp/scratch/xvfb-run.AljRTg’
‘~/tmp/scratch/xvfb-run.AvrsYY’ ‘~/tmp/scratch/xvfb-run.CN9Br6’
‘~/tmp/scratch/xvfb-run.CfTQQI’ ‘~/tmp/scratch/xvfb-run.D5pNwP’
‘~/tmp/scratch/xvfb-run.Ea0pF1’ ‘~/tmp/scratch/xvfb-run.ElceB6’
‘~/tmp/scratch/xvfb-run.FriBTa’ ‘~/tmp/scratch/xvfb-run.GKEYhH’
‘~/tmp/scratch/xvfb-run.HxuEqI’ ‘~/tmp/scratch/xvfb-run.K3R53w’
‘~/tmp/scratch/xvfb-run.KY0rNl’ ‘~/tmp/scratch/xvfb-run.LAbA46’
‘~/tmp/scratch/xvfb-run.Ljm1aZ’ ‘~/tmp/scratch/xvfb-run.M3Etjd’
‘~/tmp/scratch/xvfb-run.MCAiQj’ ‘~/tmp/scratch/xvfb-run.MOgf7w’
‘~/tmp/scratch/xvfb-run.Nl2qwK’ ‘~/tmp/scratch/xvfb-run.Np6SCL’
‘~/tmp/scratch/xvfb-run.QNmCkf’ ‘~/tmp/scratch/xvfb-run.RNMBkJ’
‘~/tmp/scratch/xvfb-run.S0diXV’ ‘~/tmp/scratch/xvfb-run.TInsr2’
‘~/tmp/scratch/xvfb-run.TQDaYC’ ‘~/tmp/scratch/xvfb-run.Uml3P8’
‘~/tmp/scratch/xvfb-run.Unw4aU’ ‘~/tmp/scratch/xvfb-run.VOAI6n’
‘~/tmp/scratch/xvfb-run.VeJ2pF’ ‘~/tmp/scratch/xvfb-run.Y4KUvw’
‘~/tmp/scratch/xvfb-run.YhwPhu’ ‘~/tmp/scratch/xvfb-run.ZXFSSm’
‘~/tmp/scratch/xvfb-run.a2lpGo’ ‘~/tmp/scratch/xvfb-run.cGQsnJ’
‘~/tmp/scratch/xvfb-run.czYl54’ ‘~/tmp/scratch/xvfb-run.dAh5eJ’
‘~/tmp/scratch/xvfb-run.dTQ8fw’ ‘~/tmp/scratch/xvfb-run.eCug2O’
‘~/tmp/scratch/xvfb-run.fTVVVG’ ‘~/tmp/scratch/xvfb-run.gAzofs’
‘~/tmp/scratch/xvfb-run.iVzFOE’ ‘~/tmp/scratch/xvfb-run.iz0Mlo’
‘~/tmp/scratch/xvfb-run.jFdHOO’ ‘~/tmp/scratch/xvfb-run.jLiK1z’
‘~/tmp/scratch/xvfb-run.kzJ5VX’ ‘~/tmp/scratch/xvfb-run.nE3P6W’
‘~/tmp/scratch/xvfb-run.nStkwT’ ‘~/tmp/scratch/xvfb-run.oFU3Hj’
‘~/tmp/scratch/xvfb-run.oHiV11’ ‘~/tmp/scratch/xvfb-run.oQqSHt’
‘~/tmp/scratch/xvfb-run.ol8DZj’ ‘~/tmp/scratch/xvfb-run.pdjNy3’
‘~/tmp/scratch/xvfb-run.qR6ekZ’ ‘~/tmp/scratch/xvfb-run.qmtqjA’
‘~/tmp/scratch/xvfb-run.rClhXz’ ‘~/tmp/scratch/xvfb-run.rSJ8mi’
‘~/tmp/scratch/xvfb-run.ralmsk’ ‘~/tmp/scratch/xvfb-run.rcQ2Lw’
‘~/tmp/scratch/xvfb-run.rj8jBR’ ‘~/tmp/scratch/xvfb-run.t6ZEsB’
‘~/tmp/scratch/xvfb-run.uzMN50’ ‘~/tmp/scratch/xvfb-run.vpHEMq’
‘~/tmp/scratch/xvfb-run.whrWft’ ‘~/tmp/scratch/xvfb-run.xjgr8U’
‘~/tmp/scratch/xvfb-run.yifqwb’ ‘~/tmp/scratch/xvfb-run.zA1rwR’
‘~/tmp/scratch/xvfb-run.zFQwpz’ ‘~/tmp/scratch/xvfb-run.zG4jUX’
‘~/tmp/scratch/xvfb-run.zSmb0s’
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.2.0
Check: tests
Result: ERROR
Running 'testthat.R' [195s]
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)... [546ms]
> 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... [333ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running Comparison Data (CD)...
> test-suggest_k.R: v Running Comparison Data (CD)... [13s]
> 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)... [190ms]
> 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... [133ms]
> 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)... [356ms]
> 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... [144ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running Comparison Data (CD)...
> test-suggest_k.R: v Running Comparison Data (CD)... [3.5s]
> 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)... [176ms]
> 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... [145ms]
> 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)... [147ms]
> 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... [157ms]
> 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... [105ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running MAP and VSS...
> test-suggest_k.R: v Running MAP and VSS... [149ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running MAP and VSS...
> test-suggest_k.R: v Running MAP and VSS... [144ms]
> 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)... [319ms]
> 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)... [156ms]
> 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... [135ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running Comparison Data (CD)...
> test-suggest_k.R: v Running Comparison Data (CD)... [1.1s]
> 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)... [149ms]
> 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... [159ms]
> 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)... [66ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running MAP and VSS...
> test-suggest_k.R: x Running MAP and VSS... [44ms]
> 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)... [160ms]
> 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)... [2.8s]
> 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)... [1.1s]
> 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... [253ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running Comparison Data (CD)...
> test-suggest_k.R: v Running Comparison Data (CD)... [26.6s]
> 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
> 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)... [219ms]
> 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... [162ms]
> test-suggest_k.R:
> test-suggest_k.R: i Running Comparison Data (CD)...
> test-suggest_k.R: v Running Comparison Data (CD)... [751ms]
> 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... [59ms]
> 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)... [191ms]
> 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-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)... [3.1s]
> test-suggest_k.R:
> test-suggest_k.R: i Running MAP and VSS...
> test-suggest_k.R: v Running MAP and VSS... [74ms]
> 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... [70ms]
> 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)... [111ms]
> 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)... [149ms]
> test-suggest_k.R:
> test-layout.R: i Redundancy pruning (direct criterion, |r| >= 0.9) flagged 3 nodes.
> test-layout.R: i Nodes are retained in the object; inspect with `x$prune$nodes` and `x$prune$chains`.
> test-check-items.R:
> test-check-items.R: -- Item quality check (ackwards) -----------------------------------------------
> test-check-items.R: Basis: pearson
> test-check-items.R: Items: 5
> test-check-items.R: Flagged: 0
> test-check-items.R: v No item problems detected.
> test-check-items.R: --------------------------------------------------------------------------------
> test-check-items.R: Constant items must be dropped (no variance). A near-constant item (one
> test-check-items.R: response dominates) can yield a meaningless factor; a sparse category can make
> test-check-items.R: `cor = "polychoric"` fail -- collapse rare categories, try `correct = 0`, or
> test-check-items.R: drop the item. Full per-item table: treat this object as a data frame.
> test-check-items.R:
> test-check-items.R: -- Item quality check (ackwards) -----------------------------------------------
> test-check-items.R: Basis: polychoric
> test-check-items.R: Items: 7
> test-check-items.R: Flagged: 2
> test-check-items.R:
> test-check-items.R: -- Flagged items --
> test-check-items.R:
> test-check-items.R: x constant: "const"
> test-check-items.R: ! near-constant: "nc"
> test-check-items.R: --------------------------------------------------------------------------------
> test-check-items.R: Constant items must be dropped (no variance). A near-constant item (one
> test-check-items.R: response dominates) can yield a meaningless factor; a sparse category can make
> test-check-items.R: `cor = "polychoric"` fail -- collapse rare categories, try `correct = 0`, or
> test-check-items.R: drop the item. Full per-item table: treat this object as a data frame.
> test-comparability.R: i Fitting 2 split-half replicates (pca, k = 1-3)...
> test-comparability.R: v Fitting 2 split-half replicates (pca, k = 1-3)... [218ms]
> test-comparability.R:
> test-comparability.R:
> test-comparability.R: -- Split-Half Factor Comparability (ackwards) ----------------------------------
> test-comparability.R: Engine: pca
> test-comparability.R: Basis: pearson
> test-comparability.R: n: 1,000 (500 per half)
> test-comparability.R: Splits: 2
> test-comparability.R: Levels: 1-3
> test-comparability.R:
> test-comparability.R: -- Comparability by level (median across splits) --
> test-comparability.R:
> test-comparability.R: k = 1: median r 1.00, min r 1.00 (m1f1)
> test-comparability.R: k = 2: median r 1.00, min r 1.00 (m2f2)
> test-comparability.R: k = 3: median r .73, min r .28 (m3f2) [1/2 splits usable]
> test-comparability.R: --------------------------------------------------------------------------------
> test-comparability.R: Per-factor detail (incl. Tucker's φ) in `$summary`; per-split values in
> test-comparability.R: `$coefficients`.
> test-comparability.R: Conventional benchmarks: >= .90 replication floor (Everett, 1983; Saucier et
> test-comparability.R: al., 2005), >= .95 factors interchangeable (Lorenzo-Seva & ten Berge, 2006) --
> test-comparability.R: conventions, not tests. Interpret levels whose factors all replicate.
> test-comparability.R: i Fitting 2 split-half replicates (pca, k = 1-3)...
> test-comparability.R: v Fitting 2 split-half replicates (pca, k = 1-3)... [253ms]
> test-comparability.R:
> test-comparability.R:
Error:
! testthat subprocess exited in file 'test-comparability.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