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:
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)
| # Install 'RGenData' in R: |
| install.packages('RGenData', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:aaf9a9be25. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 16 2024 |
| R-4.5-linux | NOTE | Dec 16 2024 |
Exports:EFACompDataFactorAnalysisGenDataPopulationGenDataSample
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| EFACompData | EFACompData |
| FactorAnalysis | FactorAnalysis |
| GenDataPopulation | GenDataPopulation |
| GenDataSample | GenDataSample |