Package: featureCorMatrix 0.4.0
featureCorMatrix: Measurement Level Independent Feature Correlation Matrix
Uses three different correlation coefficients to calculate measurement-level adequate correlations in a feature matrix: Pearson product-moment correlation coefficient, Intraclass correlation and Cramer's V.
Authors:
featureCorMatrix_0.4.0.tar.gz
featureCorMatrix_0.4.0.zip(r-4.5)featureCorMatrix_0.4.0.zip(r-4.4)featureCorMatrix_0.4.0.zip(r-4.3)
featureCorMatrix_0.4.0.tgz(r-4.4-any)featureCorMatrix_0.4.0.tgz(r-4.3-any)
featureCorMatrix_0.4.0.tar.gz(r-4.5-noble)featureCorMatrix_0.4.0.tar.gz(r-4.4-noble)
featureCorMatrix_0.4.0.tgz(r-4.4-emscripten)featureCorMatrix_0.4.0.tgz(r-4.3-emscripten)
featureCorMatrix.pdf |featureCorMatrix.html✨
featureCorMatrix/json (API)
| # Install 'featureCorMatrix' in R: |
| install.packages('featureCorMatrix', repos = c('https://masem-research.r-universe.dev', 'https://cloud.r-project.org')) |
- GermanCredit - Statlog (German Credit Data) Data Set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:82472b3d73. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:cv.testfeatureCorMatrixicc
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculates Cramer's V Correlation Coefficient | cv.test |
| Calculates the Feature Correlation Matrix | featureCorMatrix |
| Statlog (German Credit Data) Data Set | GermanCredit |
| Calculates the Intraclass correlation | icc |
