Returns the residual correlation matrix of an efa_fit() or efa_mi()
solution. Residuals are a pure extractor here; their diagnostics and a
formatted display are part of summary() of the efa object.
Arguments
- object
- type
character. Which residuals to return.
"raw"(default) returnsorig_R - model_implied_R;"standardized"returns the standardized residuals (residuals divided by their standard errors), available only when the object was fitted with bootstrap standard errors.- ...
Further arguments (currently unused).
Examples
efa <- efa_fit(test_models$baseline$cormat, n_factors = 3, N = 500)
residuals(efa)
#> V1 V2 V3 V4 V5
#> V1 0.000000000 -0.0096803522 -0.039772126 0.028066822 0.0230472687
#> V2 -0.009680352 0.0000000000 0.034710087 -0.029503531 0.0003604831
#> V3 -0.039772126 0.0347100867 0.000000000 -0.033986378 0.0042891765
#> V4 0.028066822 -0.0295035311 -0.033986378 0.000000000 0.0513975327
#> V5 0.023047269 0.0003604831 0.004289176 0.051397533 0.0000000000
#> V6 0.018651352 0.0055878934 0.016798623 -0.014142673 -0.0501478048
#> V7 -0.030411777 -0.0052650806 0.069488212 0.019404841 -0.0323005375
#> V8 0.038708943 0.0047382384 -0.043050627 0.016961743 -0.0174096565
#> V9 0.049824699 -0.0386812463 -0.024150923 -0.004831697 -0.0157568847
#> V10 0.026544156 -0.0190834494 -0.044560937 -0.003258236 -0.0046928313
#> V11 -0.054254373 0.0119493975 0.007763988 -0.009653115 -0.0075637107
#> V12 -0.047208905 0.0389761670 0.047245577 -0.016557252 0.0467253805
#> V13 0.004946583 0.0354255964 0.008064584 -0.012920393 -0.0019985601
#> V14 -0.027232322 0.0549557025 -0.013808357 0.005942186 0.0151686413
#> V15 0.008543161 0.0154589419 -0.027311283 0.025443621 0.0430996432
#> V16 0.023183146 -0.0100050662 0.018698969 0.001675323 -0.0495994365
#> V17 -0.018010956 -0.0376422367 -0.004709116 -0.010896425 -0.0381149278
#> V18 0.008143871 -0.0523347358 0.019642330 -0.014823798 0.0234271018
#> V6 V7 V8 V9 V10
#> V1 0.0186513523 -0.030411777 0.0387089429 0.049824699 0.0265441558
#> V2 0.0055878934 -0.005265081 0.0047382384 -0.038681246 -0.0190834494
#> V3 0.0167986227 0.069488212 -0.0430506268 -0.024150923 -0.0445609375
#> V4 -0.0141426726 0.019404841 0.0169617425 -0.004831697 -0.0032582358
#> V5 -0.0501478048 -0.032300538 -0.0174096565 -0.015756885 -0.0046928313
#> V6 0.0000000000 -0.011586306 -0.0166885727 0.004155845 0.0311459669
#> V7 -0.0115863059 0.000000000 0.0187368185 0.006411012 -0.0284952529
#> V8 -0.0166885727 0.018736818 0.0000000000 -0.006845566 -0.0047800634
#> V9 0.0041558451 0.006411012 -0.0068455664 0.000000000 0.0257977555
#> V10 0.0311459669 -0.028495253 -0.0047800634 0.025797755 0.0000000000
#> V11 0.0421741243 -0.002025041 0.0226871040 0.016380680 -0.0232869256
#> V12 -0.0265666602 0.006325293 -0.0223573935 -0.022574125 0.0230578178
#> V13 -0.0280233013 0.003970767 -0.0212166391 0.004871833 -0.0340382241
#> V14 -0.0007701565 -0.018643693 -0.0367239427 0.057365565 0.0336113604
#> V15 -0.0230871432 -0.023386108 0.0269276753 -0.020450801 0.0424522570
#> V16 0.0116491563 -0.002146784 -0.0004274249 -0.014166357 -0.0006502678
#> V17 0.0593845369 0.021633271 0.0274661261 0.012971542 -0.0299208695
#> V18 -0.0107337669 0.006723775 0.0082444908 -0.028836353 0.0089879282
#> V11 V12 V13 V14 V15
#> V1 -0.0542543734 -0.0472089048 0.004946583 -0.0272323222 0.008543161
#> V2 0.0119493975 0.0389761670 0.035425596 0.0549557025 0.015458942
#> V3 0.0077639877 0.0472455766 0.008064584 -0.0138083573 -0.027311283
#> V4 -0.0096531152 -0.0165572516 -0.012920393 0.0059421857 0.025443621
#> V5 -0.0075637107 0.0467253805 -0.001998560 0.0151686413 0.043099643
#> V6 0.0421741243 -0.0265666602 -0.028023301 -0.0007701565 -0.023087143
#> V7 -0.0020250408 0.0063252935 0.003970767 -0.0186436928 -0.023386108
#> V8 0.0226871040 -0.0223573935 -0.021216639 -0.0367239427 0.026927675
#> V9 0.0163806798 -0.0225741245 0.004871833 0.0573655646 -0.020450801
#> V10 -0.0232869256 0.0230578178 -0.034038224 0.0336113604 0.042452257
#> V11 0.0000000000 -0.0005479184 0.019604838 -0.0394644498 -0.053129844
#> V12 -0.0005479184 0.0000000000 0.024200864 -0.0117597431 -0.002750939
#> V13 0.0196048379 0.0242008642 0.000000000 -0.0433536640 0.012033446
#> V14 -0.0394644498 -0.0117597431 -0.043353664 0.0000000000 0.007806839
#> V15 -0.0531298437 -0.0027509395 0.012033446 0.0078068386 0.000000000
#> V16 -0.0063864966 0.0091005183 0.023875300 -0.0124546520 0.010998058
#> V17 0.0181598589 -0.0196508342 0.001347489 0.0230878081 -0.011138788
#> V18 0.0581555046 -0.0189695413 0.000528876 0.0164388922 -0.029466178
#> V16 V17 V18
#> V1 0.0231831459 -0.018010956 0.008143871
#> V2 -0.0100050662 -0.037642237 -0.052334736
#> V3 0.0186989685 -0.004709116 0.019642330
#> V4 0.0016753231 -0.010896425 -0.014823798
#> V5 -0.0495994365 -0.038114928 0.023427102
#> V6 0.0116491563 0.059384537 -0.010733767
#> V7 -0.0021467839 0.021633271 0.006723775
#> V8 -0.0004274249 0.027466126 0.008244491
#> V9 -0.0141663566 0.012971542 -0.028836353
#> V10 -0.0006502678 -0.029920870 0.008987928
#> V11 -0.0063864966 0.018159859 0.058155505
#> V12 0.0091005183 -0.019650834 -0.018969541
#> V13 0.0238753000 0.001347489 0.000528876
#> V14 -0.0124546520 0.023087808 0.016438892
#> V15 0.0109980575 -0.011138788 -0.029466178
#> V16 0.0000000000 -0.004407682 -0.003954005
#> V17 -0.0044076825 0.000000000 0.009803628
#> V18 -0.0039540048 0.009803628 0.000000000