fancyRpartPlot: A wrapper for plotting rpart trees using prp

Description Usage Arguments Author(s) References Examples

View source: R/fancyRpartPlot.R

Description

Plots a fancy RPart decision tree using the pretty rpart plotter.

Usage

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fancyRpartPlot(model, main="", sub, caption, palettes, type=2, ...)

Arguments

model

an rpart object.

main

title for the plot.

sub

sub title for the plot. The default is a Rattle string with date, time and username.

caption

caption for bottom right of plot.

palettes

a list of sequential palettes names. As supported by RColorBrewer::brewer.pal the available names are Blues BuGn BuPu GnBu Greens Greys Oranges OrRd PuBu PuBuGn PuRd Purples RdPu Reds YlGn YlGnBu YlOrBr YlOrRd.

type

the type of plot to generate (2).

...

additional arguments passed on to prp.

Author(s)

[email protected]

References

Package home page: http://rattle.togaware.com

Examples

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## Use rpart to build a decision tree.

## Not run: library(rpart)

## Set up the data for modelling.

set.seed(42)
ds     <- weather
target <- "RainTomorrow"
risk   <- "RISK_MM"
ignore <- c("Date", "Location", risk)
vars   <- setdiff(names(ds), ignore)
nobs   <- nrow(ds)
form   <- formula(paste(target, "~ ."))
train  <- sample(nobs, 0.7*nobs)
test   <- setdiff(seq_len(nobs), train)
actual <- ds[test, target]
risks  <- ds[test, risk]

# Build the model.

model <- rpart(form, data=ds[train, vars])

## Plot the model.

fancyRpartPlot(model)

## Choose different colours

fancyRpartPlot(model, palettes=c("Greys", "Oranges"))
## End(Not run)

rattle documentation built on Sept. 5, 2017, 9:05 a.m.