heatDissMat {PReMiuM} | R Documentation |
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 <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. 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)