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

Description Usage Arguments Author(s) Examples

View source: R/plotcim.R

Description

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

Usage

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  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.

Author(s)

Benoit Liquet, b.liquet@uq.edu.au,
Marc Chadeau-Hyam m.chadeau@imperial.ac.uk,
Leonardo Bottolo l.bottolo@imperial.ac.uk,
Gianluca Campanella g.campanella11@imperial.ac.uk

Examples

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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)

R2GUESS documentation built on May 2, 2019, 1:47 p.m.