PLSbiplot1 (version 0.1)

PLS.GLM.biplot: The Partial Least Squares (PLS) biplot for Generalized Linear Model (GLM)

Description

Takes in a set of predictor variables and a set of response variables and produces a PLS biplot for the (univariate) GLMs.

Usage

PLS.GLM.biplot(X, y, algorithm = NULL, ax.tickvec.X = NULL, ax.tickvec.y = NULL, ax.tickvec.b = NULL, ...)

Arguments

X

A (NxP) predictor matrix

y

A (Nx1) response vector

algorithm

The PLS.GLM algorithm

ax.tickvec.X

tick marker length for each X-variable axis in the biplot

ax.tickvec.y

tick marker length for the y-variable axis in the biplot

ax.tickvec.b

(purple) tick marker length for the y-variable axis in the biplot

...

Other arguments. Currently ignored

Value

The PLS biplot of a GLM of D=[X y] with some parameters

Examples

if(require(robustbase))
possum.mat #data matrix
y = as.matrix(possum.mat[,1], ncol=1)
dimnames(y) = list(paste("S", 1:nrow(possum.mat), seq=""), "Diversity")
X = as.matrix(possum.mat[,2:14], ncol=13)
dimnames(X) = list(paste("S", 1:nrow(possum.mat), seq=""), colnames(possum.mat[,2:14]))
PLS.GLM.biplot(X, y, algorithm=PLS.GLM, ax.tickvec.X=rep(5,ncol(X)),
 ax.tickvec.y=10, ax.tickvec.b=7)