var.rbf: Projected Correlations by bpca
In bpca: Biplot of Multivariate Data Based on Principal Components Analysis

var.rbf

R Documentation

Projected Correlations by bpca

Description

Computes the matrix of graphical correlations represented by biplot for a matrix of variable coordinates.

Usage

  var.rbf(x)

Arguments

`x`	A given object of the classes ‘⁠bpca.2d⁠’ and ‘⁠bpca.3d⁠’.

Value

A matrix of graphical correlations represented by biplot.

Note

This function is mainly for internal use in the bpca package, and may not remain available (unless we see a good reason).

Author(s)

Faria, J. C.
Allaman, I. B.
Demétrio C. G. B.

Examples

##
## Particular use
##

bp1 <- bpca(gabriel1971)
bp1$var.rb # NA

# Computes the correlations of all variables under the biplot projection
(res <- var.rbf(bp1$coord$var)) 

##
## Common use
##

bp2 <- bpca(gabriel1971,
            var.rb=TRUE)

bp2$var.rb

bpca documentation built on Nov. 20, 2023, 5:07 p.m.