R: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

# Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

## Documentation for package ‘candisc’ version 1.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.
- Package NEWS

## Help Pages

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