parallelAnalysis: Parallel analysis
In mihock/iana: GUI for Item Analysis

parallelAnalysis

R Documentation

Parallel analysis

Performs a parallel analysis for the variables (usually items) in a data frame.

parallelAnalysis(
  x,
  fm = "ml",
  cor = "cor",
  n.factors = NULL,
  sim = TRUE,
  onlyFA = FALSE
)

`x`	a data frame containing the variables (items) to be analyzed
`fm`	string specifying the factoring method ("ml", "minres", ...)
`cor`	string specifying how the correlations are found: "cor" (correlation), "cov" (covariance), "tet" (tetrachoric correlation), "poly" (polychoric correlation)
`n.factors`	integer specifying the number of factors to plot; if NULL plot all factors
`sim`	logical; if TRUE, sample from normal distribution, otherwise resample from the data
`onlyFA`	logical; if TRUE, show only factor analysis results, if FALSE show also results from principal components