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:
FactorAssumptions_2.0.1.tar.gz
FactorAssumptions_2.0.1.zip(r-4.5)FactorAssumptions_2.0.1.zip(r-4.4)FactorAssumptions_2.0.1.zip(r-4.3)
FactorAssumptions_2.0.1.tgz(r-4.4-any)FactorAssumptions_2.0.1.tgz(r-4.3-any)
FactorAssumptions_2.0.1.tar.gz(r-4.5-noble)FactorAssumptions_2.0.1.tar.gz(r-4.4-noble)
FactorAssumptions_2.0.1.tgz(r-4.4-emscripten)FactorAssumptions_2.0.1.tgz(r-4.3-emscripten)
FactorAssumptions.pdf |FactorAssumptions.html✨
FactorAssumptions/json (API)
NEWS
| # Install 'FactorAssumptions' in R: |
| install.packages('FactorAssumptions', repos = c('https://storopoli.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/storopoli/factorassumptions/issues
Last updated 3 years agofrom:18115c73a4. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-win | OK | Nov 09 2024 |
| R-4.5-linux | OK | Nov 09 2024 |
| R-4.4-win | OK | Nov 09 2024 |
| R-4.4-mac | OK | Nov 09 2024 |
| R-4.3-win | OK | Nov 09 2024 |
| R-4.3-mac | OK | Nov 09 2024 |
Exports:communalities_optimal_solutionkmokmo_optimal_solution
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculates the Optimal Solution for Communalities in a Dataframe | communalities_optimal_solution |
| Calculates the Kayser-Meyer-Olkin (KMO) | kmo |
| Calculates the Optimal Solution for Kayser-Meyer-Olkin (KMO) in a Dataframe | kmo_optimal_solution |
