biplot3D {compositions} | R Documentation

## 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,...)
    ## Default S3 method:
    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 class 'princomp':
     biplot3D(x,choices=1:3,scale=1,...,
                comp.col=par("fg"),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
`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?

### 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.

### Value

nothing

### Author(s)

K.Gerald v.d. Boogaart http://www.stat.boogaart.de

### See Also

`gsi`

### Examples

    data(SimulatedAmounts)
    pc <- princomp(acomp(sa.lognormals5))
    pc
    summary(pc)
    plot(pc)           #plot(pc,type="screeplot")
    biplot3D(pc)

[Package compositions version 0.91-6 Index]