Generates Multivariate Nonnormal Data and Determines How Many Factors to Retain R package RGenData version 1.0 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>. Software John Ruscio <ruscio@tcnj.edu> Comprehensive R Archive Network (CRAN) John Ruscio MIT + file LICENSE (https://CRAN.R-project.org/package=RGenData/LICENSE) 2018-11-14 application/tgz https://CRAN.R-project.org/package=RGenData doi:10.32614/CRAN.package.RGenData