Package: mccca 1.1.0.1
Mariko Takagishi
mccca: Visualizing Class Specific Heterogeneous Tendencies in Categorical Data
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 refers to Mariko Takagishi and Michel van de Velden (2022)<doi:10.1080/10618600.2022.2035737>.
Authors:
mccca_1.1.0.1.tar.gz
mccca_1.1.0.1.tar.gz(r-4.5-noble)mccca_1.1.0.1.tar.gz(r-4.4-noble)
mccca_1.1.0.1.tgz(r-4.4-emscripten)mccca_1.1.0.1.tgz(r-4.3-emscripten)
mccca.pdf |mccca.html✨
mccca/json (API)
# Install 'mccca' in R: |
install.packages('mccca', repos = c('https://cran.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 11 months agofrom:b5b9a3463f. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-linux-x86_64 | OK | Nov 20 2024 |
Exports:create.MCCCAdatacreate.propgenerate.cate.listgenerate.cateclsgenerate.extgenerate.onedataMCCCA
Dependencies:abindclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagicmagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalesstringistringrtibbleutf8vctrsviridisLitewithrwordcloud
Readme and manuals
Help Manual
Help page | Topics |
---|---|
this function creates a list (class: mcccadata) to be applied to MCCCA. | create.MCCCAdata |
Creates a list length J of category proportion for each cluster. | create.prop |
Generate (NxJ) categorical data matrix. | generate.cate.list |
Generate (NxJ) clustered categorical data matrix. | generate.catecls |
generates an artificial (NxH) external variable matrix. | generate.ext |
Generate (NxJ) categorical data matrix. | generate.onedata |
apply MCCCA for dataset. | MCCCA |
plot 'mccca' object. | plot.mccca |