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>.
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=RGenData
to link to this page.