R2GUESS (version 2.0)

plotcim: Clustered Image Maps (CIMs) (heat maps)

Description

This function generates color-coded Clustered Image Maps (CIMs) representing the pairwise correlation between a subset of predictors and the outcomes.

Usage

plotcim(x, select.variable, labelX = NULL)

Arguments

x

an object of class ESS.

select.variable

name of the selected predictors.

labelX

names of the predictors used when running R2GUESS. This argument is optional if a MAP.file has been provided.

Examples

# NOT RUN {
modelY_Hopx <- example.as.ESS.object()
MPPI.Hopx <-
plotMPPI(modelY_Hopx,threshold.model=20,threshold.variable=0.25,Figure=FALSE)
plotcim(modelY_Hopx,select.variable=MPPI.Hopx$var.TOP.MPI)
# }