RGenData: Generates Multivariate Nonnormal Data and Determines How Many Factors to Retain

The GenDataSample() and GenDataPopulation() functions create, respectively, a sample or population of multivariate nonnormal data using methods described in Ruscio and Kaczetow (2008). Both of these functions call a FactorAnalysis() function to reproduce a correlation matrix. The EFACompData() function allows users to determine how many factors to retain in an exploratory factor analysis of an empirical data set using a method described in Ruscio and Roche (2012). The latter function uses populations of comparison data created by calling the GenDataPopulation() function. <DOI: 10.1080/00273170802285693>. <DOI: 10.1037/a0025697>.

Getting started

Package details

AuthorJohn Ruscio
MaintainerJohn Ruscio <[email protected]>
LicenseMIT + file LICENSE
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RGenData")

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RGenData documentation built on Nov. 14, 2018, 5:06 p.m.