Data Science Desktop Survival Guide by Graham Williams
Desktop Survival Project Home Preface Data Science Introducing R R Constructs R Tasks R Strings R Read, Write, and Create Data Template Data Exploration Data Wrangling Data Visualisation Statistics ML Template ML Scenarios ML Activities ML Applications ML Algorithms Cluster Analysis Decision Trees Computer Vision Graph Data Privacy Literate Data Science Coding with Style Resources Bibliography Index

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Enhanced Plot: With Colour

col <- c("#FD8D3C", "#FD8D3C", "#FD8D3C", "#BCBDDC",
         "#FDD0A2", "#FD8D3C", "#BCBDDC")
prp(model, type=2, extra=104, nn=TRUE, fallen.leaves=TRUE,
    faclen=0, varlen=0, shadow.col="grey", branch.lty=3, box.col=col)

The fancyRpartPlot() function from rattle generates scaled colour for colouring the boxes depending on the decision and the strength. The hard work is in generating the scaled colours for the nodes. Here we use other palettes for the colours rather than those used by fancyRpartPlot().