Description Usage Arguments Details Value Author(s) See Also Examples
Plots variables and cases in the same plot, based on a principal component analysis.
1 2 3 4 5 6 7 8 9 10 11  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=1,comp.labs=paste("Comp.",1:3),
scale.scores=lambda[choices]^(1scale),
scale.var=scale.comp, scale.comp=sqrt(lambda[choices]),
scale.disp=1/scale.comp)

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 
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

y 
matrix of second point/arrowhead 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 xlocations 
ylabs 
labels to be plotted at ylocations 
expand 
the relative expansion of the y data set with respect to x 
arrow.len 
The length of the arrows as defined in 
add 
logical, adding to existing plot or making a new one? 
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.
the 3D plotting coordinates of the tips of the arrows of the variables displayed, returned invisibly
K.Gerald v.d. Boogaart http://www.stat.boogaart.de
1 2 3 4 5 6 7 8 9  data(SimulatedAmounts)
pc < princomp(acomp(sa.lognormals5))
pc
summary(pc)
plot(pc) #plot(pc,type="screeplot")
biplot(pc)
if(requireNamespace("rgl", quietly = TRUE)) {
biplot3D(pc)
} ## this function requires package 'rgl'

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