CRAN/E | RGenData

RGenData

Generates Multivariate Nonnormal Data and Determines How Many Factors to Retain

Installation

About

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.

Key Metrics

Version 1.0
Published 2018-11-14 2169 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

John Ruscio

Authors

John Ruscio

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64