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).


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Reference manual

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install.packages("FactorAssumptions")

1.1.2 by Jose Storopoli, 8 months ago


https://github.com/storopoli/FactorAssumptions


Report a bug at https://github.com/storopoli/FactorAssumptions/issues


Browse source code at https://github.com/cran/FactorAssumptions


Authors: Jose Storopoli [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Depends on MASS, psych

Suggests knitr, rmarkdown, testthat


See at CRAN