FactorAssumptions: Set of Assumptions for Factor and Principal Component Analysis

Tests for Kaiser-Meyer-Olkin (KMO) and communalities in a dataset. It provides a final sample by removing variables in a iterable manner while keeping account of the variables that were removed in each step. It follows the best practices and assumptions according to Hair, Black, Babin & Anderson (2018, ISBN:9781473756540).

Version: 1.1.2
Depends: R (≥ 3.6.0), MASS, psych
Suggests: knitr, rmarkdown, testthat (≥ 2.1.0)
Published: 2020-03-06
Author: Jose Storopoli ORCID iD [aut, cre]
Maintainer: Jose Storopoli <thestoropoli at gmail.com>
BugReports: https://github.com/storopoli/FactorAssumptions/issues
License: GPL-3
URL: https://github.com/storopoli/FactorAssumptions
NeedsCompilation: no
Materials: README NEWS
CRAN checks: FactorAssumptions results


Reference manual: FactorAssumptions.pdf
Vignettes: How to use FactorAssumptions
Package source: FactorAssumptions_1.1.2.tar.gz
Windows binaries: r-devel: FactorAssumptions_1.1.2.zip, r-release: FactorAssumptions_1.1.2.zip, r-oldrel: FactorAssumptions_1.1.2.zip
macOS binaries: r-release: FactorAssumptions_1.1.2.tgz, r-oldrel: FactorAssumptions_1.1.2.tgz


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