Reshape loadings between wide/long formats.
Usage
reshape_loadings(x, ...)
# S3 method for parameters_efa
reshape_loadings(x, threshold = NULL, ...)
# S3 method for data.frame
reshape_loadings(x, threshold = NULL, loadings_columns = NULL, ...)Arguments
- x
A data frame or a statistical model.
- ...
Arguments passed to or from other methods.
- threshold
A value between 0 and 1 indicates which (absolute) values from the loadings should be removed. An integer higher than 1 indicates the n strongest loadings to retain. Can also be
"max", in which case it will only display the maximum loading per variable (the most simple structure).- loadings_columns
Vector indicating the columns corresponding to loadings.
Examples
if (require("psych")) {
pca <- model_parameters(psych::fa(attitude, nfactors = 3))
loadings <- reshape_loadings(pca)
loadings
reshape_loadings(loadings)
}
#> Variable | MR1 | MR2 | MR3 | Complexity | Uniqueness
#> ------------------------------------------------------------
#> rating | 0.90 | -0.07 | -0.05 | 1.02 | 0.23
#> complaints | 0.97 | -0.06 | 0.04 | 1.01 | 0.10
#> privileges | 0.44 | 0.25 | -0.05 | 1.64 | 0.65
#> learning | 0.47 | 0.54 | -0.28 | 2.51 | 0.24
#> raises | 0.55 | 0.43 | 0.25 | 2.35 | 0.23
#> critical | 0.16 | 0.17 | 0.48 | 1.46 | 0.67
#> advance | -0.11 | 0.91 | 0.07 | 1.04 | 0.22