heatDissMat: Plot the heatmap of the dissimilarity matrix

In PReMiuM: Dirichlet Process Bayesian Clustering, Profile Regression

Plot the heatmap of the dissimilarity matrix

Description

Function to plot the heatmap of the dissimilarity matrix

Usage

heatDissMat(dissimObj, main=NULL, xlab=NULL, ylab=NULL)

Arguments

dissimObj	An object of class dissimObj.
main	The usual plot option, to be passed to the heatmap function.
ylab	The usual plot option, to be passed to the heatmap function.
xlab	The usual plot option, to be passed to the heatmap function.

Value

Plot of the heatmap of the dissimilary matrix. This functions uses the function 'heatmap' of package 'stats'. Note that this function has not been optimised for large datasets.

Authors

Silvia Liverani, Department of Epidemiology and Biostatistics, Imperial College London and MRC Biostatistics Unit, Cambridge, UK

Maintainer: Silvia Liverani <[e-mail]>

References

Silvia Liverani, David I. Hastie, Lamiae Azizi, Michail Papathomas, Sylvia Richardson (2015). PReMiuM: An R Package for Profile Regression Mixture Models Using Dirichlet Processes. Journal of Statistical Software, 64(7), 1-30. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v064.i07")}.

Examples

## Not run: 
# generate simulated dataset
generateDataList <- clusSummaryBernoulliDiscreteSmall()
inputs <- generateSampleDataFile(generateDataList)

# run profile regression
runInfoObj<-profRegr(yModel=inputs$yModel, xModel=inputs$xModel, 
 nSweeps=10, nBurn=2000, data=inputs$inputData, output="output", 
 covNames=inputs$covNames,nClusInit=15)

# compute dissimilarity matrix     
dissimObj<-calcDissimilarityMatrix(runInfoObj)

# plot heatmap
heatDissMat(dissimObj)

## End(Not run)

PReMiuM documentation built on Nov. 14, 2023, 1:08 a.m.