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).
- Version2.0.1
- R version≥ 3.6.0
- LicenseGPL-3
- Needs compilation?No
- Last release03/08/2022
Documentation
Team
Jose Storopoli
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- Depends2 packages
- Suggests3 packages