Performs Correspondence Analysis on the given dataframe and plots the results in a scatterplot that emphasizes the geometric interpretation aspect of the analysis, following Borg-Groenen (2005) and Yelland (2010). It is particularly useful for highlighting the relationships between a selected row (or column) category and the column (or row) categories. See Borg-Groenen (2005, ISBN:978-0-387-28981-6); Yelland (2010) <doi:10.3888/tmj.12-4>.
Version: | 0.2 |
Depends: | R (≥ 4.0.0) |
Imports: | ca (≥ 0.71), ggplot2 (≥ 3.4.0), ggrepel (≥ 0.9.0) |
Published: | 2023-06-06 |
DOI: | 10.32614/CRAN.package.caplot |
Author: | Gianmarco Alberti [aut, cre] |
Maintainer: | Gianmarco Alberti <gianmarcoalberti at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | caplot results |
Reference manual: | caplot.pdf |
Package source: | caplot_0.2.tar.gz |
Windows binaries: | r-devel: caplot_0.2.zip, r-release: caplot_0.2.zip, r-oldrel: caplot_0.2.zip |
macOS binaries: | r-devel (arm64): caplot_0.2.tgz, r-release (arm64): caplot_0.2.tgz, r-oldrel (arm64): caplot_0.2.tgz, r-devel (x86_64): caplot_0.2.tgz, r-release (x86_64): caplot_0.2.tgz, r-oldrel (x86_64): caplot_0.2.tgz |
Old sources: | caplot archive |
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