compositions (version 1.40-2)

biplot3D: Three-dimensional biplots, based on package rgl

Description

Plots variables and cases in the same plot, based on a principal component analysis.

Usage

biplot3D(x,...)
# S3 method for default
biplot3D(x,y,var.axes=TRUE,col=c("green","red"),cex=c(2,2),
            xlabs = NULL, ylabs = NULL, expand = 1,arrow.len = 0.1,
            ...,add=FALSE)
 # S3 method for princomp
biplot3D(x,choices=1:3,scale=1,...,
            comp.col=1,comp.labs=paste("Comp.",1:3),
            scale.scores=lambda[choices]^(1-scale),
            scale.var=scale.comp, scale.comp=sqrt(lambda[choices]), 
            scale.disp=1/scale.comp)

Arguments

x

princomp object or matrix of point locations to be drawn (typically, cases)

choices

Which principal components should be used?

scale

a scaling parameter like in biplot

scale.scores

a vector giving the scaling applied to the scores

scale.var

a vector giving the scaling applied to the variables

scale.comp

a vector giving the scaling applied to the unit length of each component

scale.disp

a vector giving the scaling of the display in the directions of the components

comp.col

color to draw the axes of the components, defaults to black

comp.labs

labels for the components

…

further plotting parameters as defined in rgl.material

y

matrix of second point/arrow-head locations (typically, variables)

var.axes

logical, TRUE draws arrows and FALSE points for y

col

vector/list of two elements the first giving the color/colors for the first data set and the second giving color/colors for the second data set.

cex

vector/list of two elements the first giving the size for the first data set and the second giving size for the second data set.

xlabs

labels to be plotted at x-locations

ylabs

labels to be plotted at y-locations

expand

the relative expansion of the y data set with respect to x

arrow.len

The length of the arrows as defined in arrows3D

add

logical, adding to existing plot or making a new one?

Value

the 3D plotting coordinates of the tips of the arrows of the variables displayed, returned invisibly

Details

This "biplot" is a triplot, relating data, variables and principal components. The relative scaling of the components is still experimental, meant to mimic the behavior of classical biplots.

See Also

gsi

Examples

# NOT RUN {
data(SimulatedAmounts)
pc <- princomp(acomp(sa.lognormals5))
pc
summary(pc)
plot(pc)           #plot(pc,type="screeplot")
biplot3D(pc)
# }