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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-release (arm64): caplot_0.2.tgz, r-oldrel (arm64): 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.