tests/testthat/_snaps/efa_scores.md

print and summary output are stable

Code
  print(fs_grips)
Output

  -- Factor scores (Bartlett) ----------------------------------------------------

  Scored 810 of 810 observations on 1 factor (see `$scores`).

  -- Score determinacy -----------------------------------------------------------

       rho  rho2  guttman
  F1 <num> <num> <num>
Code
  print(fs_ob_cor)
Output

  -- Factor scores (regression) --------------------------------------------------

  Weights and diagnostics only (correlation-matrix input; no scores).

  -- Score determinacy -----------------------------------------------------------

       rho  rho2  guttman
  F1 <num> <num> <num>
  F2 <num> <num> <num>
  F3 <num> <num> <num>
Code
  print(summary(fs_ob_cor))
Output

  -- Factor scores (regression) --------------------------------------------------

  Weights and diagnostics only (correlation-matrix input; no scores).

  -- Score determinacy -----------------------------------------------------------

       rho  rho2  guttman
  F1 <num> <num> <num>
  F2 <num> <num> <num>
  F3 <num> <num> <num>

  -- Factor weights --------------------------------------------------------------

        F1 F2 F3
  V1 <num> <num> <num>
  V2 <num> <num> <num>
  V3 <num> <num> <num>
  V4 <num> <num> <num>
  V5 <num> <num> <num>
  V6 <num> <num> <num>
  V7 <num> <num> <num>
  V8 <num> <num> <num>
  V9 <num> <num> <num>
  V10 <num> <num> <num>
  V11 <num> <num> <num>
  V12 <num> <num> <num>
  V13 <num> <num> <num>
  V14 <num> <num> <num>
  V15 <num> <num> <num>
  V16 <num> <num> <num>
  V17 <num> <num> <num>
  V18 <num> <num> <num>

  -- Score validity and univocality ----------------------------------------------

  Diagonal: validity (score-factor correlation). Off-diagonal: univocality.

       F1 F2 F3
  F1 <num> <num> <num>
  F2 <num> <num> <num>
  F3 <num> <num> <num>

  -- Score intercorrelations -----------------------------------------------------

        F1 F2 F3
  F1 <num> <num> <num>
  F2 <num> <num> <num>
  F3 <num> <num> <num>

the f error names the averaged matrix an efa_average object carries

Code
  cat(conditionMessage(e))
Output
  `f` must be an <efa> object (from `efa_fit()`), a matrix, or an <efa_loadings> object.
  i From an <efa_average> object, use the averaged loading matrix in `$loadings$average`, with the averaged factor correlations in `$Phi$average` for an oblique solution.


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EFAtools documentation built on Aug. 21, 2026, 5:16 p.m.