Package index • candisc

candisc

Canonical discriminant analysis

candisc-package: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

candisc() print(<candisc>) summary(<candisc>) coef(<candisc>) scores(<candisc>) plot(<candisc>): Canonical discriminant analysis

candiscList() print(<candiscList>) summary(<candiscList>) plot(<candiscList>): Canonical discriminant analyses

can_lm(): Transform a Multivariate Linear model mlm to a Canonical Representation

dataIndex(): Indices of observations in a model data frame

heplot(<candisc>): Canonical Discriminant HE plots

heplot(<candiscList>): Canonical Discriminant HE plots

cancor

Canonical correlation analysis

cancor() print(<cancor>) summary(<cancor>) scores(<cancor>) coef(<cancor>): Canonical Correlation Analysis

heplot(<cancor>): Canonical Correlation HE plots

plot(<cancor>): Canonical Correlation Plots

redundancy() print(<cancor.redundancy>): Canonical Redundancy Analysis

Wilks(): Wilks Lambda Tests for Canonical Correlations

Graphics

Graphic utilities

predictor.names(): Get predictor names from a lm-like model

varOrder(): Order variables according to canonical structure or other criteria

vectors(): Draw Labeled Vectors in 2D or 3D

vecscale(): Scale vectors to fill the current plot

Data

Datasets

cereal: Breakfast Cereal Dataset

Grass: Yields from Nitrogen nutrition of grass species

HSB: High School and Beyond Data

PsyAcad: Psychological Measures and Academic Achievement

Wine: Chemical composition of three cultivars of wine

Wolves: Wolf skulls