Package: rSCA 3.1
rSCA: An R Package for Stepwise Cluster Analysis
A statistical tool for multivariate modeling and clustering using stepwise cluster analysis. The modeling output of rSCA is constructed as a cluster tree to represent the complicated relationships between multiple dependent and independent variables. A free tool (named rSCA Tree Generator) for visualizing the cluster tree from rSCA is also released and it can be downloaded at <https://rscatree.weebly.com/>.
Authors:
rSCA_3.1.tar.gz
rSCA_3.1.zip(r-4.5)rSCA_3.1.zip(r-4.4)rSCA_3.1.zip(r-4.3)
rSCA_3.1.tgz(r-4.4-any)rSCA_3.1.tgz(r-4.3-any)
rSCA_3.1.tar.gz(r-4.5-noble)rSCA_3.1.tar.gz(r-4.4-noble)
rSCA_3.1.tgz(r-4.4-emscripten)rSCA_3.1.tgz(r-4.3-emscripten)
rSCA.pdf |rSCA.html✨
rSCA/json (API)
| # Install 'rSCA' in R: |
| install.packages('rSCA', repos = c('https://xanderwangcsl.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:dfbbec64b9. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 04 2024 |
| R-4.5-win | NOTE | Sep 04 2024 |
| R-4.5-linux | NOTE | Sep 04 2024 |
| R-4.4-win | NOTE | Sep 04 2024 |
| R-4.4-mac | NOTE | Sep 04 2024 |
| R-4.3-win | OK | Sep 04 2024 |
| R-4.3-mac | OK | Sep 04 2024 |
Exports:rSCA.correlationrSCA.inferencerSCA.missingrSCA.modeling
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Correlation Analysis for Modeling Data Sets | rSCA.correlation |
| Inference for Stepwise Cluster Analysis | rSCA.inference |
| Checking Missing Values for Modeling Data Sets | rSCA.missing |
| Multivariate Modeling with Stepwise Cluster Analysis | rSCA.modeling |
