Estimate a classification or regression tree
To create a tree model, first select the type (i.e., Classification
or Regression), response variable, and one or more explanatory
variables. Press the Estimate model button or
CTRL-enter (CMD-enter on mac) to generate
results.
Add code to
Report
> Rmd to (re)create the analysis by clicking the
icon on the bottom
left of your screen or by pressing ALT-enter on your
keyboard.
If either a Prune or Importance plot was
created it can be customized using ggplot2 commands (e.g.,
plot(result, plots = "prune", custom = TRUE) + labs(x = "# nodes")).
See
Data
> Visualize for details.
It is not currently possible to add a title or caption directly to a
Tree plot.
For an overview of related R-functions used by Radiant to estimate classification and regression trees see Model > Classification and regression trees
The key function from the rpart package used in the
crtree tool is rpart.