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:Michael Friendly [aut, cre], John Fox [aut]

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✨
DESCRIPTION |NEWS
card.svg |card.png
candisc/json (API)

# 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

Datasets:

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

On CRAN:

dimension-reduction multivariate-linear-models visualization

10.20 score 16 stars 3 packages 431 scripts 6.4k downloads 16 mentions 17 exports 94 dependencies

Last updated from:d6b2311ea4. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	227
source / vignettes	OK	274
linux-release-x86_64	OK	216
macos-release-arm64	OK	128
macos-oldrel-arm64	OK	132
windows-devel	OK	136
windows-release	OK	118
windows-oldrel	OK	130
wasm-release	OK	183

Exports:can_lm cancor candisc candiscList confusion cor_lda dataIndex plot_discrim predict_discrim predictor.names redundancy reflect scores varOrder vecscale vectors Wilks

Dependencies:abind backports base64enc boot broom bslib cachem car carData cli colorspace cowplot cpp11 Deriv digest doBy dplyr evaluate farver fastmap fontawesome forecast Formula fracdiff fs generics ggplot2 glue gtable heplots highr htmltools htmlwidgets insight isoband jquerylib jsonlite knitr labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa modelr nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rgl rlang rmarkdown S7 sass scales SparseM stringi stringr survival tibble tidyr tidyselect timeDate tinytex urca utf8 vctrs viridisLite withr xfun yaml zoo

Diabetes data: heplots and candisc examples

Rendered fromdiabetes.Rmdusingknitr::rmarkdown

Last update: 2025-11-19
Started: 2017-09-17

Help page	Topics
Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis	candisc-package
Transform a Multivariate Linear model 'mlm' to a Canonical Representation	can_lm
Canonical Correlation Analysis	cancor cancor.default cancor.formula coef.cancor print.cancor scores scores.cancor summary.cancor
Canonical discriminant analysis	candisc candisc.mlm coef.candisc plot.candisc print.candisc scores.candisc summary.candisc
Canonical discriminant analyses	candiscList candiscList.mlm plot.candiscList print.candiscList summary.candiscList
Breakfast Cereal Dataset	cereal
Confusion matrix for LDA / QDA	confusion confusion.lda confusion.qda print.confusion
Calculate Structure Correlations from Discriminant Analysis	cor_lda
Indices of observations in a model data frame	dataIndex
Yields from Nitrogen nutrition of grass species	Grass
Canonical Correlation HE plots	heplot.cancor heplot3d.cancor
Canonical Discriminant HE plots	heplot.candisc heplot3d.candisc
Canonical Discriminant HE plots	heplot.candiscList heplot3d.candiscList
High School and Beyond Data	HSB
Painters Data with Historical Art Variables	painters2
Discriminant Analysis Decision Plot using ggplot.	plot_discrim
Canonical Correlation Plots	plot.cancor
Predicted values for discriminant analysis	predict_discrim
Get predictor names from a 'lm'-like model	predictor.names predictor.names.default
Psychological Measures and Academic Achievement	PsyAcad
Canonical Redundancy Analysis	print.cancor.redundancy redundancy
Reflect Columns in an Object, reversing the sign of all elements	reflect reflect.cancor reflect.candisc reflect.data.frame
Extract Observation Discriminant Scores for Linear Discriminant Analysis	scores.lda
Order variables according to canonical structure or other criteria	varOrder varOrder.data.frame varOrder.default varOrder.mlm
Scale vectors to fill the current plot	vecscale
Draw Labeled Vectors in 2D or 3D	vectors vectors3d
Wilks Lambda Tests for Canonical Correlations	Wilks Wilks.cancor Wilks.candisc
Chemical composition of three cultivars of wine	Wine
Wolf skulls	Wolves

Package: candisc 1.1.1

candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

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Help Manual

Usage by other packages (reverse dependencies)