Package: RGenData 1.0

John Ruscio

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>.

Authors:John Ruscio

RGenData_1.0.tar.gz
RGenData_1.0.tar.gz(r-4.5-noble)RGenData_1.0.tar.gz(r-4.4-noble)
RGenData_1.0.tgz(r-4.4-emscripten)RGenData_1.0.tgz(r-4.3-emscripten)
RGenData.pdf |RGenData.html✨
RGenData/json (API)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 1 stars 0.71 score 0 dependencies 2 mentions 11 scripts 128 downloads

Last updated 6 years agofrom:aaf9a9be25. Checks:OK: 1 NOTE: 1. Indexed: yes.

Exports:EFACompDataFactorAnalysisGenDataPopulationGenDataSample

Dependencies: