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).

Package details

AuthorJose Storopoli [aut, cre] (<https://orcid.org/0000-0002-0559-5176>)
MaintainerJose Storopoli <thestoropoli@gmail.com>
URL https://github.com/storopoli/FactorAssumptions
Package repositoryView on CRAN
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FactorAssumptions documentation built on March 26, 2020, 6:31 p.m.