问题
can any one please show me how to add volume in each of the nodes , instead of the final node volume
t <- ctree(is_return ~ a + b + c)
plot(t, type="simple")
and my tree would look like

how can I modified that plot where it would show N= on every circle nodes , not only the black or the final node.
Thanks
回答1:

The idea is to specify a panel functions for plotting inner nodes.
I generate some data, and the tree
lls <- data.frame(N = gl(3, 50, labels = c("A", "B", "C")),
a = rnorm(150) + rep(c(1, 0,150)),
b = runif(150))
pond= sample(1:5,150,replace=TRUE)
tt <- ctree(formula=N~a+b, data=lls,weights = pond)
The custom inner plot function. I draw a circle where i write the some of weights.
innerWeights <- function(node){
grid.circle(gp = gpar(fill = "White", col = 1))
mainlab <- paste( node$psplit$variableName, "\n(n = ")
mainlab <- paste(mainlab, sum(node$weights),")" , sep = "")
grid.text(mainlab,gp = gpar(col='red'))
}
I plot the tree
plot(tt, type='simple', inner_panel = innerWeights)
PS: the results depends on a random generated data, so you will not probably get the same plot.
回答2:
When exporting the decision tree, change the dimensions of the image. for a decision tree with 200 terminal nodes the width should be about 30.000.
来源:https://stackoverflow.com/questions/13772715/show-volume-in-each-node-using-ctree-plot-in-r