eval.cart {delt} | R Documentation |
Calculates a CART histogram. The estimate is represented as an evaluation tree. An CART histogram is a multivariate adaptive histogram which is obtained by pruning an evaluation tree of an overfitting histogram.
eval.cart(dendat, leaf, minobs = NULL)
dendat |
n*d data matrix |
leaf |
positive integer; the cardinality of the partition of the histogram |
minobs |
non-negative integer; splitting of a bin of the overfitting histogram will be continued if the bin containes "minobs" or more observations |
The partition of the histogram may not contain exactly "leaf" rectangles: the cardinality of the partition is as close as possible to "leaf"
An evaluation tree
Jussi Klemela
dendat<-sim.data(n=600,seed=5,type="mulmodII") eva<-eval.cart(dendat,16) dp<-draw.pcf(eva,pnum=c(60,60)) persp(dp$x,dp$y,dp$z,theta=-20,phi=30)