ccpsyc (version 0.2.6)

clearing_fa: Function to quickly organize and clear psych factor loadings

Description

Function to quickly organize and clear psych factor loadings

Usage

clearing_fa(
  psych_fa,
  cutoff = 0.4,
  dbl_dist = 0.2,
  key_file = NULL,
  cleaned = TRUE
)

Arguments

psych_fa

Output from the psych package, can be either fa or principal with at least two dimensions

cutoff

Desired cutoff below which loadings are omitted defaults to .40

dbl_dist

Desired distance between highest and second highest loading for an item to remove double loadings, defaults to .20

key_file

Optional: Either a .csv or .xlsx file with at least two columns: 1 labeled item containing the item labels as in the data frame, 2 a column labeled wording containing the item wording.

cleaned

If true (default), only the cleaned solution with a message for descriptive stats are returned. If false the function returns a list of data frames one cleaned and one showing all in-between steps

Value

clean This column contains the assignment after removing NAs and double loadings

dir This column contains the direction (positive or negative) of the highest loading.

Examples

# NOT RUN {
library(psych)
fa_solution <- fa(example[c(paste0("help", 1:6, "m"), c(paste0("voice", 1:5, "m")))], nfactors = 2)
clearing_fa(fa_solution)
# }