Package: candisc 1.1.1

candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
Functions for computing and visualizing generalized canonical discriminant analyses and canonical correlation analysis for a multivariate linear model. Traditional canonical discriminant analysis is restricted to a one-way 'MANOVA' design and is equivalent to canonical correlation analysis between a set of quantitative response variables and a set of dummy variables coded from the factor variable. The 'candisc' package generalizes this to higher-way 'MANOVA' designs for all factors in a multivariate linear model, computing canonical scores and vectors for each term. The graphic functions provide low-rank (1D, 2D, 3D) visualizations of terms in an 'mlm' via the 'plot.candisc' and 'heplot.candisc' methods. Related plots are now provided for canonical correlation analysis when all predictors are quantitative. Methods for linear discriminant analysis are now included.
Authors:
candisc_1.1.1.tar.gz
candisc_1.1.1.zip(r-4.7)candisc_1.1.1.zip(r-4.6)candisc_1.1.1.zip(r-4.5)
candisc_1.1.1.tgz(r-4.6-any)candisc_1.1.1.tgz(r-4.5-any)
candisc_1.1.1.tar.gz(r-4.7-any)candisc_1.1.1.tar.gz(r-4.6-any)
candisc_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
candisc/json (API)
NEWS
| # Install 'candisc' in R: |
| install.packages('candisc', repos = c('https://friendly.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/friendly/candisc/issues
Pkgdown/docs site:https://friendly.github.io
- cereal - Breakfast Cereal Dataset
- Grass - Yields from Nitrogen nutrition of grass species
- HSB - High School and Beyond Data
- painters2 - Painters Data with Historical Art Variables
- PsyAcad - Psychological Measures and Academic Achievement
- Wine - Chemical composition of three cultivars of wine
- Wolves - Wolf skulls
dimension-reductionmultivariate-linear-modelsvisualization
Last updated from:029a6b6e06. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 232 | ||
| source / vignettes | OK | 309 | ||
| linux-release-x86_64 | OK | 233 | ||
| macos-release-arm64 | OK | 157 | ||
| macos-oldrel-arm64 | OK | 116 | ||
| windows-devel | OK | 137 | ||
| windows-release | OK | 149 | ||
| windows-oldrel | OK | 127 | ||
| wasm-release | OK | 174 |
Exports:can_lmcancorcandisccandiscListcor_ldadataIndexplot_discrimpredict_discrimpredictor.namesredundancyreflectscoresvarOrdervecscalevectorsWilks
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicolorspacecowplotcpp11DerivdigestdoBydplyrevaluatefarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2gluegtableheplotshighrhtmltoolshtmlwidgetsinsightisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrglrlangrmarkdownS7sassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunyamlzoo
