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.

Report > Rmd

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.

© Vincent Nijs (2019) Creative Commons License