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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | RGenData_1.0.tar.gz |
30.8 KiB |
1.0 |
rolling linux/noble R-4.5 | RGenData_1.0.tar.gz |
30.8 KiB |
1.0 |
rolling source/ R- | RGenData_1.0.tar.gz |
5.0 KiB |
1.0 |
latest linux/jammy R-4.5 | RGenData_1.0.tar.gz |
30.8 KiB |
1.0 |
latest linux/noble R-4.5 | RGenData_1.0.tar.gz |
30.8 KiB |
1.0 |
latest source/ R- | RGenData_1.0.tar.gz |
5.0 KiB |
1.0 |
2026-04-26 source/ R- | RGenData_1.0.tar.gz |
5.0 KiB |
1.0 |
2026-04-23 source/ R- | RGenData_1.0.tar.gz |
5.0 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | RGenData_1.0.zip |
33.7 KiB |
1.0 |
2025-04-20 source/ R- | RGenData_1.0.tar.gz |
5.0 KiB |