Package: cabootcrs 2.1.0
Trevor Ringrose
cabootcrs: Bootstrap Confidence Regions for Simple and Multiple Correspondence Analysis
Performs simple correspondence analysis on a two-way contingency table, or multiple correspondence analysis (homogeneity analysis) on data with p categorical variables, and produces bootstrap-based elliptical confidence regions around the projected coordinates for the category points. Includes routines to plot the results in a variety of styles. Also reports the standard numerical output for correspondence analysis.
Authors:
cabootcrs_2.1.0.tar.gz
cabootcrs_2.1.0.tar.gz(r-4.5-noble)cabootcrs_2.1.0.tar.gz(r-4.4-noble)
cabootcrs_2.1.0.tgz(r-4.4-emscripten)cabootcrs_2.1.0.tgz(r-4.3-emscripten)
cabootcrs.pdf |cabootcrs.html✨
cabootcrs/json (API)
NEWS
# Install 'cabootcrs' in R: |
install.packages('cabootcrs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- AsbestosData - Asbestos data
- AttachmentData - Van Ijzendoorn's attachment data
- DreamData - Maxwell's dream data set, with simplified labels
- DreamData223by3 - Maxwell's dream data set with added totally random column
- DreamDataNames - Maxwell's dream data set, using full original labels
- NishData - Nishisato's Singapore data
- OsteoData - Osteoarchaeological data with categories given as numbers
- OsteoDataNames - Osteoarchaeological data with named categories
- SuicideData - Suicide data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:a5e3efc3f1. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 09 2024 |
R-4.5-linux | OK | Dec 09 2024 |
Exports:addsupplementaryallvarscovscabootcrsconvertcovmatgetBurtgetCTgetdoubledgetindicatormyresamplefnplotcaprintcarearrangereflectaxesreordercategoriesscasummaryca
Dependencies:colorspacelpSolve