search for: 632plus

...g errorest function from ipred package. I am hoping to perform "bootstrap 0.632+" and "bootstrap leave one out". According to the manual page for errorest, i use the following command: ce632[i]<-errorest(ytrain ~., data=mydata, model=lda, estimator=c("boot","632plus"), predict=mypredict.lda)$error It didn't work. I then tried the following two commands: ce632[i]<-errorest(ytrain ~., data=mydata, model=lda, estimator=c("632plus"), est.para=control.errorest(nboot=B), predict=mypredict.lda)$error ceLOOB[i]<-errorest(ytrain ~., data=...

Dear R-users, I'd like to estimate standard errors (for lda) and make a boxplot with the "632plus" and "boot" error estimators included in package ipred (method: errorest). The "boot" estimator returns only a standard deviation but not the whole error data. Thank you in advance, regards, Antoine

...632+ bootstrap error using random forest, I have tried to use 'ipred' package; more specifically the function 'errorest' has been used. Following the guidelines, I made a simple command line like below: error<-errorest(class ~ ., data=data, model=randomForest, estimator = "632plus")$err however, I got an error message saying that: randomForest.default(m, y, ...) : Can't have empty classes in y. The data I used includes three classes and each of the classes has 5, 2, and 4 samples, respectively. Other than this fact about the data, nothing is different fr...

...s "mypredict.lda<-function(object, newdata)predict(object, newdata=newdata)$class" actually do? I run a few errorest commands in the same function on the same dataset using the same classifier lda. The only difference is some use "cv", other use "boot" and "632plus". They all share one mypredict.lda. Will it cause any problem? Regards, justin