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>.

Version: 1.0
Published: 2018-11-14
Author: John Ruscio
Maintainer: John Ruscio <ruscio at tcnj.edu>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: RGenData results


Reference manual: RGenData.pdf


Package source: RGenData_1.0.tar.gz
Windows binaries: r-devel: RGenData_1.0.zip, r-release: RGenData_1.0.zip, r-oldrel: RGenData_1.0.zip
macOS binaries: r-release (arm64): RGenData_1.0.tgz, r-oldrel (arm64): RGenData_1.0.tgz, r-release (x86_64): RGenData_1.0.tgz, r-oldrel (x86_64): RGenData_1.0.tgz


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