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).


Reference manual

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1.1.2 by Jose Storopoli, a year ago

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Authors: Jose Storopoli [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Depends on MASS, psych

Suggests knitr, rmarkdown, testthat

See at CRAN