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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 |
| DOI: | 10.32614/CRAN.package.RGenData |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.