compareTreecalcs {DAAG}  R Documentation 
Error rate comparisons for treebased classification
Description
Compare error rates, between different functions and different selection rules, for an approximately equal random division of the data into a training and test set.
Usage
compareTreecalcs(x = yesno ~ ., data = DAAG::spam7, cp = 0.00025, fun = c("rpart",
"randomForest"))
Arguments
x 
model formula 
data 
an data frame in which to interpret the variables named in the formula 
cp 
setting for the cost complexity parameter 
fun 
one or both of "rpart" and "randomForest" 
Details
Data are randomly divided into two subsets, I and II. The function(s) are used in the standard way for calculations on subset I, and error rates returined that come from the calculations carried out by the function(s). Predictions are made for subset II, allowing the calculation of a completely independent set of error rates.
Value
If rpart
is specified in fun
, the following:
rpSEcvI 
the estimated crossvalidation error rate
when 
rpcvI 
the estimated crossvalidation error rate when

rpSEtest 
the error rate when the model that leads to 
rptest 
the error rate when the model that leads to 
nSErule 
number of splits required by the one standard error rule 
nREmin 
number of splits to give the minimum error 
If rpart
is specified in fun
, the following:
rfcvI 
the outofbag (OOB) error rate when

rftest 
the error rate when the model that leads to 
Author(s)
John Maindonald