screePlot: Scree Test

In Rkabacoff/factorAnalysis: Principal Components, Factor Analysis, and Clustering Tools

Scree Test

Description

screePlot generates a scree plot with superimpose parallel analysis

Usage

screePlot(data, n.iter = 50, method = c("pc", "pa", "ml"), ...)

Arguments

data	a data frame or correlation matrix.
n.iter	number of iterations for parallel analysis.
method	factoring method (pc, pa, or ml).
...	parameters passed to psych::fa.parallel.

Details

The screePlot function is a wrapper for the psych::parallel function. A ggplot2 graph is produced with the scree plot and parallel analysis (scree plot for simulated data) based on the method chosen. The methods are principal components ("pc"), principal axis ("pa"), and maximum likelihood ("ml") factoring.

Value

a ggplot2 graph

Examples

screePlot(Harman74.cor$cov, method="pc", n.obs=145)

Rkabacoff/factorAnalysis documentation built on March 21, 2022, 3:15 p.m.