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candisc
View on CRAN: Click
here
Download and install candisc package within the R console
Install from CRAN:
install.packages("candisc")
Install from Github:
library("remotes")
install_github("cran/candisc")
Install by package version:
library("remotes")
install_version("candisc", "0.9.0")
Attach the package and use:
library("candisc")
Maintained by
Michael Friendly
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.candisc . https://github.com/friendly/candisc/issues . https://github.com/friendly/candisc/ . https://friendly.github.io/candisc/ . candisc citation info . candisc results . candisc.pdf . Diabetes data: heplots and candisc examples . candisc_0.9.0.tar.gz . candisc_0.9.0.zip . candisc_0.9.0.zip . candisc_0.9.0.zip . candisc_0.9.0.tgz . candisc_0.9.0.tgz . candisc_0.9.0.tgz . candisc_0.9.0.tgz . candisc_0.9.0.tgz . candisc_0.9.0.tgz . candisc archive . https://CRAN.R-project.org/package=candisc .
First Published: 2008-04-14
Latest Update: 2021-10-07
Description:
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.
How to cite:
Michael Friendly (2008). candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis. R package version 0.9.0, https://cran.r-project.org/web/packages/candisc. Accessed 01 Apr. 2025.
Previous versions and publish date:
0.5-9 (2008-04-14 20:16), 0.5-10 (2008-11-10 11:45), 0.5-13 (2009-02-03 21:03), 0.5-15 (2009-06-14 21:07), 0.5-16 (2009-11-19 14:00), 0.5-18 (2010-07-29 17:47), 0.5-19 (2010-09-19 20:30), 0.5-21 (2011-12-11 11:41), 0.6-0 (2013-01-23 07:26), 0.6-1 (2013-01-30 15:17), 0.6-2 (2013-02-12 18:11), 0.6-3 (2013-03-15 07:23), 0.6-5 (2013-06-12 08:15), 0.6-7 (2015-04-19 07:30), 0.7-0 (2016-04-27 13:30), 0.7-2 (2016-11-11 00:07), 0.8-0 (2017-09-19 19:18), 0.8-3 (2020-04-22 14:02), 0.8-5 (2021-01-22 17:30), 0.8-6 (2021-10-07 19:10)
Other packages that cited candisc R package
View candisc citation profile
Other R packages that candisc depends,
imports, suggests or enhances
Complete documentation for candisc
Functions, R codes and Examples using
the candisc R package
Some associated functions: Grass . HSB . Wilks . Wine . Wolves . can_lm . cancor . candisc-package . candisc . candiscList . dataIndex . heplot.cancor . heplot.candisc . heplot.candiscList . plot.cancor . redundancy . varOrder . vecscale . vectors .
Some associated R codes: Wilks.cancor.R . can_lm.R . cancor.R . candisc.R . candiscList.R . dataIndex.R . heplot.cancor.R . heplot.candisc.R . heplot3d.cancor.R . mlm2can.R . plot.cancor.R . plot.candisc.R . redundancy.R . varOrder.R . vecscale.R . vectors.R . vectors3d.R . Full candisc package functions and examples
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