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:John Ruscio

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 = 'https://cloud.r-project.org')

On CRAN:

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

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Last updated 6 years agofrom:aaf9a9be25. Checks:1 OK, 2 NOTE. Indexed: yes.

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Exports:EFACompDataFactorAnalysisGenDataPopulationGenDataSample

Dependencies:

Citation

To cite package ‘RGenData’ in publications use:

Ruscio J (2018). RGenData: Generates Multivariate Nonnormal Data and Determines How Many Factors to Retain. R package version 1.0, https://CRAN.R-project.org/package=RGenData.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry:

  @Manual{,
    title = {RGenData: Generates Multivariate Nonnormal Data and
      Determines How Many Factors to Retain},
    author = {John Ruscio},
    year = {2018},
    note = {R package version 1.0},
    url = {https://CRAN.R-project.org/package=RGenData},
  }

Readme and manuals

Help Manual

Help pageTopics
EFACompDataEFACompData
FactorAnalysisFactorAnalysis
GenDataPopulationGenDataPopulation
GenDataSampleGenDataSample