xpred.rpart {rpart}  R Documentation 
Gives the predicted values for an rpart
fit, under
cross validation, for a set of complexity parameter values.
xpred.rpart(fit, xval=10, cp)
fit 
a rpart object.

xval 
number of crossvalidation groups. This may also be an explicit list of integers that define the crossvalidation groups. 
cp 
the desired list of complexity values. By default it is taken from the
cptable component of the fit.

Complexity penalties are actually ranges, not values. If the
cp
values found in the table were .36, .28,
and .13, for instance, this means that the first row of the
table holds for all complexity penalties in the range [.36, 1],
the second row for cp
in the range [.28, .36) and
the third row for [.13,.28). By default, the geometric mean
of each interval is used for cross validation.
a matrix with one row for each observation and one column for each complexity value.
fit < rpart(Mileage ~ Weight, car.test.frame) xmat < xpred.rpart(fit) xerr < (xmat  car.test.frame$Mileage)^2 apply(xerr, 2, sum) # crossvalidated error estimate # approx same result as rel. error from printcp(fit) apply(xerr, 2, sum)/var(car.test.frame$Mileage) printcp(fit)