EFAtools (version 1.1.0)

print.efa_sl_loadings: Print an efa_sl_loadings object

Description

Print an efa_sl_loadings object

Usage

# S3 method for efa_sl_loadings
print(x, ...)
# S3 method for efa_sl_loadings
format(
  x,
  cutoff = 0.2,
  digits = 3,
  max_name_length = 10,
  color = TRUE,
  name_style = c("truncate", "abbreviate", "full"),
  max_factors_per_block = NULL,
  sort_loadings = c("none", "primary", "clustered"),
  ...
)

Value

print() returns its argument x invisibly; it is cat(format(x, ...), sep = "\n") followed by a blank line for console spacing. format() returns a character vector with the table lines (styled to the active console theme; plain when colours are disabled).

Arguments

x

class efa_sl_loadings matrix.

...

additional arguments passed to print or format.

cutoff

numeric. The value at or above which loadings are emphasized (default is .2). The default is lower than the .3 of an ordinary loading table (print.efa_loadings()): the group-factor loadings are residualized, that is, they carry only the variance left once the general factor has been partialled out, and are therefore smaller than the corresponding first-order loadings.

digits

numeric. Passed to round. Number of digits to round the loadings to (default is 3).

max_name_length

numeric. The maximum length of the variable names to display; see print.efa_loadings().

color

logical. Whether to apply console styling using cli. Default is TRUE.

name_style

character. How to shorten variable names longer than max_name_length; see print.efa_loadings().

max_factors_per_block

numeric or NULL. Maximum number of factor columns to print per block. If NULL, the number is chosen from the console width.

sort_loadings

character. Optional row sorting; see print.efa_loadings(). The default "none" keeps the input order. When sorting is requested, rows are grouped by their largest group-factor loading: the general factor is left out of the comparison, since it is the largest loading of almost every item and sorting on it would leave the order untouched.

Details

Prints a Schmid-Leiman loading matrix (general factor, group factors, and the communality/uniqueness columns) as a styled, decimal-aligned table. Loadings with absolute value greater than or equal to cutoff are emphasised, smaller loadings are de-emphasised, and Heywood-relevant cells (a loading or communality above 1, or a negative uniqueness) are highlighted. If the matrix has many columns or the console is narrow, the table is split into stacked column blocks so the output stays readable.

Examples

EFA_mod <- efa_fit(test_models$baseline$cormat, N = 500, n_factors = 3,
                   estimator = "PAF", rotation = "promax")
efa_schmid_leiman(EFA_mod, estimator = "PAF")