efa_compare.md
In EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools

the input error names where a fitted solution keeps its loadings

Code
  cat(conditionMessage(e))
Output
  `x` (<efa/EFA>) and `y` (<efa/EFA>) must be numeric vectors or matrices.
  i From an <efa> solution, use `$rot_loadings`, or `$unrot_loadings` if it was fitted without a rotation.

print output is stable

Code
  print(matr)
Output

  -- Summary statistics ----------------------------------------------------------

  Mean [min, max] absolute difference:  .2500 [ .0000, 1.0000]
  Median absolute difference:  .0000
  Root mean squared distance (RMSE):  .5000
  Max decimals where all numbers agree in absolute value: none
  Minimum number of decimals provided: 0
  Differing indicator-to-factor correspondences: 1 (highest loading),
    0 (all |loadings| >= 0.3)

  -- Elementwise differences -----------------------------------------------------

  Differences: x - y.

        F1     F2
  V1  .0000   .0000
  V2  .0000  1.0000

Code
  print(int)
Output

  -- Summary statistics ----------------------------------------------------------

  Mean [min, max] absolute difference:  .0000 [ .0000,  .0000]
  Median absolute difference:  .0000
  Root mean squared distance (RMSE):  .0000
  Max decimals where all numbers agree in absolute value: 0
  Minimum number of decimals provided: 0

  -- Elementwise differences -----------------------------------------------------

  Differences: x - y.

  V1   .0000
  V2   .0000
  V3   .0000
  V4   .0000
  V5   .0000
  V6   .0000
  V7   .0000
  V8   .0000
  V9   .0000
  V10  .0000