This function is meant to help visualizing random forests by finding a "typical" tree. Its output does not have any deeper statistical meaning.

It builds on the the grf package and the resulting forest object. To understand how to build a random forest, consult the documentation here. To access forests, consider the example of a causal forest. The first tree of a forest called forst can be accessed like this:

tree_id <- 1
first_tree <- get_tree(forst, tree_id)

It can be plotted like this:

plot(first_tree)

The "typical" tree of a forest is found through the following algorithm:

• The forest is "chopped down" (i.e. subset) so that all trees have the most common first split variable.
• The forest is further chopped down to all those trees with the most common second split variable.
• And so on, until either the most common case is no more splits, or there are no more than two trees left.

The function's output is a grf::plot object of the the typical tree.