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-4.7-any)RGenData_1.0.tar.gz(r-4.6-any)
RGenData_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:aaf9a9be25. Checks:2 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 104 | ||
| source / vignettes | OK | 132 | ||
| linux-release-x86_64 | NOTE | 89 | ||
| wasm-release | OK | 84 |
Exports:EFACompDataFactorAnalysisGenDataPopulationGenDataSample
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| EFACompData | EFACompData |
| FactorAnalysis | FactorAnalysis |
| GenDataPopulation | GenDataPopulation |
| GenDataSample | GenDataSample |