Package: ggbiplot 0.6.3
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_0.6.3.tar.gz
ggbiplot_0.6.3.zip(r-4.5)ggbiplot_0.6.3.zip(r-4.4)ggbiplot_0.6.3.zip(r-4.3)
ggbiplot_0.6.3.tgz(r-4.4-any)ggbiplot_0.6.3.tgz(r-4.3-any)
ggbiplot_0.6.3.tar.gz(r-4.5-noble)ggbiplot_0.6.3.tar.gz(r-4.4-noble)
ggbiplot_0.6.3.tgz(r-4.4-emscripten)ggbiplot_0.6.3.tgz(r-4.3-emscripten)
ggbiplot.pdf |ggbiplot.html✨
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 site:https://friendly.github.io
- crime - U. S. Crimes
- wine - Wine dataset
- wine.class - Wine dataset
biplotdata-visualizationdimension-reductionprincipal-component-analysis
Last updated 3 months agofrom:64d247901d. Checks:3 OK, 4 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 10 2025 |
| R-4.5-win | OK | Jan 10 2025 |
| R-4.5-linux | OK | Jan 10 2025 |
| R-4.4-win | NOTE | Jan 10 2025 |
| R-4.4-mac | NOTE | Jan 10 2025 |
| R-4.3-win | NOTE | Jan 10 2025 |
| R-4.3-mac | NOTE | Jan 10 2025 |
Exports:get_SVDggbiplotggscreeplotreflect
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
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 |
