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RGenData
View on CRAN: Click
here
Download and install RGenData package within the R console
Install from CRAN:
install.packages("RGenData")
Install from Github:
library("remotes")
install_github("cran/RGenData")
Install by package version:
library("remotes")
install_version("RGenData", "1.0")
Attach the package and use:
library("RGenData")
Maintained by
John Ruscio
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-14
Latest Update: 2018-11-14
Description:
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.
.
.
How to cite:
John Ruscio (2018). RGenData: Generates Multivariate Nonnormal Data and Determines How Many Factors to Retain. R package version 1.0, https://cran.r-project.org/web/packages/RGenData. Accessed 21 Dec. 2024.
Previous versions and publish date:
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Complete documentation for RGenData
Functions, R codes and Examples using
the RGenData R package
Some associated functions: EFACompData . FactorAnalysis . GenDataPopulation . GenDataSample .
Some associated R codes: EFAGenData.R . Full RGenData package functions and examples
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