Last chance! 50% off unlimited learning
Sale ends in
Creates a "snipped" rpart object, containing the nodes that remain after selected subtrees have been snipped off. The user can snip nodes using the toss argument, or interactively by clicking the mouse button on specified nodes within the graphics window.
snip.rpart(x, toss)
A rpart
object containing the nodes that remain after specified or
selected subtrees have been snipped off.
fitted model object of class "rpart"
. This is assumed to be the result
of some function that produces an object with the same named
components as that returned by the rpart
function.
an integer vector containing indices (node numbers) of all subtrees to be snipped off. If missing, user selects branches to snip off as described below.
Visually erasing the plot is done by over-plotting with the background colour. This will do nothing if the background is transparent (often true for screen devices).
A dendrogram of rpart
is expected to be visible on the graphics
device, and a graphics input device (e.g., a mouse) is required. Clicking
(the selection button) on a node displays the node number, sample
size, response y-value, and Error (dev). Clicking a second time on the
same node snips that subtree off and visually erases the subtree.
This process may be repeated an number of times. Warnings result from
selecting the root or leaf nodes. Clicking the exit button will stop
the snipping process and return the resulting rpart
object.
See the documentation for the specific graphics device for details on graphical input techniques.
plot.rpart
## dataset not in R
if (FALSE) {
z.survey <- rpart(market.survey) # grow the rpart object
plot(z.survey) # plot the tree
z.survey2 <- snip.rpart(z.survey, toss = 2) # trim subtree at node 2
plot(z.survey2) # plot new tree
# can also interactively select the node using the mouse in the
# graphics window
}
Run the code above in your browser using DataLab