Package: mccca 2.4
mccca: Visualizing Class Specific Heterogeneous Tendencies in Categorical Data
Provides functions for performing multiple-class cluster correspondence analysis(MCCCA). The main functions are create.MCCCAdata() to create a list to be applied to MCCCA, MCCCA() to apply MCCCA, and plot.mccca() for visualizing MCCCA result. Methods used in the package are described in Mariko Takagishi and Michel van de Velden (2022)<doi:10.1080/10618600.2022.2035737>.
Authors:
mccca_2.4.tar.gz
mccca_2.4.zip(r-4.7-x86_64)mccca_2.4.zip(r-4.7-arm64)mccca_2.4.zip(r-4.6-x86_64)mccca_2.4.zip(r-4.6-arm64)mccca_2.4.zip(r-4.5-x86_64)
mccca_2.4.tgz(r-4.6-x86_64)mccca_2.4.tgz(r-4.6-arm64)mccca_2.4.tgz(r-4.5-x86_64)mccca_2.4.tgz(r-4.5-arm64)
mccca_2.4.tar.gz(r-4.7-arm64)mccca_2.4.tar.gz(r-4.7-x86_64)mccca_2.4.tar.gz(r-4.6-arm64)mccca_2.4.tar.gz(r-4.6-x86_64)
mccca_2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mccca/json (API)
| # Install 'mccca' in R: |
| install.packages('mccca', repos = c('https://mtakagishi0.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 from:66b4cb263a. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 163 | ||
| linux-devel-x86_64 | OK | 197 | ||
| source / vignettes | OK | 196 | ||
| linux-release-arm64 | OK | 176 | ||
| linux-release-x86_64 | OK | 207 | ||
| macos-release-arm64 | OK | 255 | ||
| macos-release-x86_64 | OK | 502 | ||
| macos-oldrel-arm64 | OK | 182 | ||
| macos-oldrel-x86_64 | OK | 535 | ||
| windows-devel-arm64 | OK | 411 | ||
| windows-devel-x86_64 | OK | 161 | ||
| windows-release-arm64 | OK | 412 | ||
| windows-release-x86_64 | OK | 264 | ||
| windows-oldrel-x86_64 | OK | 175 | ||
| wasm-release | OK | 166 |
Exports:create.MCCCAdatadecideKgenerate.extgenerate.onedataMCCCA
Dependencies:abindade4classcliclusterclusterSimcolorspacecpp11e1071farverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagicmagrittrMASSpixmapproxyR6RColorBrewerRcppRcppArmadillorlangS7scalesspstringistringrvctrsviridisLitewithrwordcloud
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Visualizing Class Specific Heterogeneous Tendencies in Categorical Data | mccca-package mccca |
| Accident data | accident |
| Create a list (class : mcccadata) which is later applied to MCCCA. | create.MCCCAdata |
| Calculate chosen cluster index using specified K. | decideK |
| generates an artificial (NxH) external variable matrix. | generate.ext |
| Generate (NxJ) categorical data matrix. | generate.onedata |
| apply MCCCA for dataset. | MCCCA |
| Meal and Drink preference data | mealDrink |
| Plot a calcIndex Object | plot.calcIndex |
| plot 'mccca' object. | plot.mccca |
| Simple function using Rcpp | rcpp_hello_world |
| Summarize Cluster-Number Selection Results | summary.calcIndex |
| Summarize MCCCA Results | summary.mccca |
| Summarize an mcccadata Object | summary.mcccadata |