Package: greenclust 1.1.1
greenclust: Combine Categories Using Greenacre's Method
Implements a method of iteratively collapsing the rows of a contingency table, two at a time, by selecting the pair of categories whose combination yields a new table with the smallest loss of chi-squared, as described by Greenacre, M.J. (1988) <doi:10.1007/BF01901670>. The result is compatible with the class of object returned by the 'stats' package's hclust() function and can be used similarly (plotted as a dendrogram, cut, etc.). Additional functions are provided for automatic cutting and diagnostic plotting.
Authors:
greenclust_1.1.1.tar.gz
greenclust_1.1.1.zip(r-4.5)greenclust_1.1.1.zip(r-4.4)greenclust_1.1.1.zip(r-4.3)
greenclust_1.1.1.tgz(r-4.4-any)greenclust_1.1.1.tgz(r-4.3-any)
greenclust_1.1.1.tar.gz(r-4.5-noble)greenclust_1.1.1.tar.gz(r-4.4-noble)
greenclust_1.1.1.tgz(r-4.4-emscripten)greenclust_1.1.1.tgz(r-4.3-emscripten)
greenclust.pdf |greenclust.html✨
greenclust/json (API)
NEWS
| # Install 'greenclust' in R: |
| install.packages('greenclust', repos = c('https://jeffjetton.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jeffjetton/greenclust/issues
Last updated 1 years agofrom:b0d11a1cf7. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-win | OK | Nov 12 2024 |
| R-4.5-linux | OK | Nov 12 2024 |
| R-4.4-win | OK | Nov 12 2024 |
| R-4.4-mac | OK | Nov 12 2024 |
| R-4.3-win | OK | Nov 12 2024 |
| R-4.3-mac | OK | Nov 12 2024 |
Exports:assign.clustergreenclustgreencutgreenplot
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Assign clusters to a new vector of categories | assign.cluster |
| Row Clustering Using Greenacre's Method | greenclust |
| Cut a Greenclust Tree into Optimal Groups | greencut |
| Plot Statistics for a Greenclust Object | greenplot |
