Package: wideRhino 1.2.0
Raeesa Ganey
wideRhino: High-Dimensional Methods via Generalised Singular Decomposition
Construct a Canonical Variate Analysis Biplot via the Generalised Singular Value Decomposition, for cases when the number of samples is less than the number of variables. For more information on these biplots, see Ganey, R., & Gardner-Lubbe, S. (2026) <doi:10.1007/s10260-025-00831-y>.
Authors:
wideRhino_1.2.0.tar.gz
wideRhino_1.2.0.tar.gz(r-4.7-any)wideRhino_1.2.0.tar.gz(r-4.6-any)
wideRhino_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
wideRhino/json (API)
| # Install 'wideRhino' in R: |
| install.packages('wideRhino', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- sim_data - Simulated Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:d00ff1aaeb. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 123 | ||
| source / vignettes | OK | 172 | ||
| linux-release-x86_64 | OK | 127 | ||
| wasm-release | OK | 112 |
Exports:CVAbiplotCVAgsvdget.GSVD
Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixpillarpkgconfigR6RColorBrewerrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calibrate axis | .calibrate.axis |
| Provide axes coordinates | axes_coordinates |
| Plot the CVA biplot | CVAbiplot |
| CVA using the GSVD | CVAgsvd |
| Get GSVD Get the components of the GSVD decomposition | get.GSVD |
| Simulated Data | sim_data |
