Package: FactorAssumptions 2.0.1

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).

Authors:Jose Storopoli [aut, cre]

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FactorAssumptions/json (API)
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Bug tracker:https://github.com/storopoli/factorassumptions/issues

On CRAN:

3 exports 2 stars 0.84 score 6 dependencies 8 scripts 243 downloads

Last updated 3 years agofrom:18115c73a4. Checks:OK: 7. Indexed: yes.

Exports:communalities_optimal_solutionkmokmo_optimal_solution

Dependencies:GPArotationlatticeMASSmnormtnlmepsych