heatDissMat function

Plot the heatmap of the dissimilarity matrix

Function to plot the heatmap of the dissimilarity matrix

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.

Returns

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 liveranis@gmail.com

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. 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)