Package: ggbiplot 0.6.5

ggbiplot: A Grammar of Graphics Implementation of Biplots
A 'ggplot2' based implementation of biplots, giving a representation of a dataset in a two dimensional space accounting for the greatest variance, together with variable vectors showing how the data variables relate to this space. It provides a replacement for stats::biplot(), but with many enhancements to control the analysis and graphical display. It implements biplot and scree plot methods which can be used with the results of prcomp(), princomp(), FactoMineR::PCA(), ade4::dudi.pca() or MASS::lda() and can be customized using 'ggplot2' techniques.
Authors:
ggbiplot_0.6.5.tar.gz
ggbiplot_0.6.5.zip(r-4.7)ggbiplot_0.6.5.zip(r-4.6)ggbiplot_0.6.5.zip(r-4.5)
ggbiplot_0.6.5.tgz(r-4.6-any)ggbiplot_0.6.5.tgz(r-4.5-any)
ggbiplot_0.6.5.tar.gz(r-4.7-any)ggbiplot_0.6.5.tar.gz(r-4.6-any)
ggbiplot_0.6.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ggbiplot/json (API)
NEWS
| # Install 'ggbiplot' in R: |
| install.packages('ggbiplot', repos = c('https://friendly.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/friendly/ggbiplot/issues
Pkgdown/docs site:https://friendly.github.io
- crime - U. S. Crimes
- wine - Wine dataset
- wine.class - Wine dataset
biplotdata-visualizationdimension-reductionprincipal-component-analysis
Last updated from:1ff9d6b131. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 152 | ||
| source / vignettes | OK | 206 | ||
| linux-release-x86_64 | OK | 127 | ||
| macos-release-arm64 | OK | 113 | ||
| macos-oldrel-arm64 | OK | 206 | ||
| windows-devel | OK | 108 | ||
| windows-release | OK | 142 | ||
| windows-oldrel | OK | 99 | ||
| wasm-release | OK | 105 |
Exports:get_SVDggbiplotggscreeplotreflect
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| U. S. Crimes | crime |
| Extract the SVD components from a PCA-like object | get_SVD |
| Biplot for Principal Components using ggplot2 | ggbiplot |
| Screeplot for Principal Components | ggscreeplot |
| Reflect Columns in a Principal Component-like Object | reflect |
| Wine dataset | wine wine.class |
