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 = '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:3 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 09 2025 |
| R-4.5-linux | OK | Mar 09 2025 |
| R-4.4-linux | OK | Mar 09 2025 |
Exports:addsupplementaryallvarscovscabootcrsconvertcovmatgetBurtgetCTgetdoubledgetindicatormyresamplefnplotcaprintcarearrangereflectaxesreordercategoriesscasummaryca
Dependencies:colorspacelpSolve
Citation
To cite package ‘cabootcrs’ in publications use:
Ringrose T (2022). cabootcrs: Bootstrap Confidence Regions for Simple and Multiple Correspondence Analysis. R package version 2.1.0, https://CRAN.R-project.org/package=cabootcrs.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{,
title = {cabootcrs: Bootstrap Confidence Regions for Simple and
Multiple Correspondence Analysis},
author = {Trevor Ringrose},
year = {2022},
note = {R package version 2.1.0},
url = {https://CRAN.R-project.org/package=cabootcrs},
}
Readme and manuals
cabootcrs
Constructs bootstrap elliptical confidence regions for the plotted points in simple and multiple correspondence analysis. These differ from other approaches in that they are explicitly designed as confidence regions for the locations of the population points when projected onto the observed sample axes. The algorithm for multiple CA contains a new method to correct for the well-known distortions caused by the diagonal of the Burt matrix.
Use
For 2-way data presented in this case as a contingency table, perform simple CA and produce plots with confidence regions
theresults <- cabootcrs(thedata)
For p-way data, presented in this case as an n individuals by p variables matrix giving category memberships for each individual, perform multiple CA and produce plots with confidence regions
theresults <- cabootcrs(thedata,catype="mca")
Installing
From CRAN, with
install.packages("cabootcrs")