Graphics utility functions to draw vectors from an origin to a collection of points (using arrows in 2D or lines3d in 3D) with labels for each (using text or texts3d).
● Data Source:
CranContrib
● Keywords: aplot
● Alias: vectors, vectors3d
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candisc
(Package: candisc) :
Canonical discriminant analysis
candisc performs a generalized canonical discriminant analysis for one term in a multivariate linear model (i.e., an mlm object), computing canonical scores and vectors. It represents a transformation of the original variables into a canonical space of maximal differences for the term, controlling for other model terms.
● Data Source:
CranContrib
● Keywords: hplot, multivariate
● Alias: candisc, candisc.mlm, coef.candisc, plot.candisc, print.candisc, summary.candisc
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dataIndex
(Package: candisc) :
Indices of observations in a model data frame
Find sequential indices for observations in a data frame corresponding to the unique combinations of the levels of a given model term from a model object or a data frame
● Data Source:
CranContrib
● Keywords: manip, utilities
● Alias: dataIndex
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heplot.candisc
(Package: candisc) :
Canonical Discriminant HE plots
These functions plot ellipses (or ellipsoids in 3D) in canonical discriminant space representing the hypothesis and error sums-of-squares-and-products matrices for terms in a multivariate linear model. They provide a low-rank 2D (or 3D) view of the effects for that term in the space of maximum discrimination.
● Data Source:
CranContrib
● Keywords: hplot, multivariate
● Alias: heplot.candisc, heplot3d.candisc
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Calculates indices of redundancy (Stewart & Love, 1968) from a canonical correlation analysis. These give the proportion of variances of the variables in each set (X and Y) which are accounted for by the variables in the other set through the canonical variates.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: print.cancor.redundancy, redundancy
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candiscList
(Package: candisc) :
Canonical discriminant analyses
candiscList performs a generalized canonical discriminant analysis for all terms in a multivariate linear model (i.e., an mlm object), computing canonical scores and vectors.
● Data Source:
CranContrib
● Keywords: hplot, multivariate
● Alias: candiscList, candiscList.mlm, plot.candiscList, print.candiscList, summary.candiscList
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Calculates a scale factor so that a collection of vectors nearly fills the current plot, that is, the longest vector does not extend beyond the plot region.
● Data Source:
CranContrib
● Keywords: manip
● Alias: vecscale
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The varOrder function implements some features of “effect ordering” (Friendly & Kwan (2003) for variables in a multivariate data display to make the displayed relationships more coherent.
● Data Source:
CranContrib
● Keywords: manip, multivariate
● Alias: varOrder, varOrder.data.frame, varOrder.mlm
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Tests the sequential hypotheses that a given canonical correlation and all that follow it are zero.
● Data Source:
CranContrib
● Keywords: htest
● Alias: Wilks, Wilks.cancor
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This function uses candisc to transform the responses in a multivariate linear model to scores on canonical variables for a given term and then uses those scores as responses in a linear (lm) or multivariate linear model (mlm).
● Data Source:
CranContrib
● Keywords:
● Alias: can_lm
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