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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.1 |
rolling source/ R- | FactorAssumptions_2.0.1.tar.gz |
15.1 KiB |
2.0.1 |
latest source/ R- | FactorAssumptions_2.0.1.tar.gz |
15.1 KiB |
2.0.1 |
2026-04-23 source/ R- | FactorAssumptions_2.0.1.tar.gz |
15.1 KiB |
2.0.1 |
2026-04-09 windows/windows R-4.5 | FactorAssumptions_2.0.1.zip |
36.4 KiB |