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)
}
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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.

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