Error Handling in R

In R, we can handle errors with try() and inherits(object-name,'try-error').
mtry <- try(tuneRF(dt[, -3], dat3[,3], ntreeTry=100, stepFactor=1.5,improve=0.01))
if (!inherits(mtry, "try-error")) {
best.m <- mtry[mtry[, 2] == min(mtry[, 2]), 1]
rf <- randomForest(ID~.,data=dt, mtry=best.m, importance=TRUE, ntree=1000)
} else {
rf <- randomForest(ID~.,data=dt, importance=TRUE, ntree=1000)
}
Spread the Word!
Share
Related Posts
About Author:

Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has over 10 years of experience in data science. During his tenure, he has worked with global clients in various domains like Banking, Insurance, Private Equity, Telecom and Human Resource.

1 Response to "Error Handling in R"
  1. Very usefull. Thanx. Will greatly benefit from these pages.

    ReplyDelete

Next → ← Prev

Looks like you are using an ad blocker!

To continue reading you need to turnoff adblocker and refresh the page. We rely on advertising to help fund our site. Please whitelist us if you enjoy our content.