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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).
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Package details |
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| Author | Jose Storopoli [aut, cre] (<https://orcid.org/0000-0002-0559-5176>) |
| Maintainer | Jose Storopoli <jstoropoli@protonmail.com> |
| License | GPL-3 |
| Version | 2.0.1 |
| URL | https://github.com/storopoli/FactorAssumptions |
| Package repository | View on CRAN |
| Installation |
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