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 8 years of experience in data science. During his tenure, he has worked with global clients in various domains like Banking, Insurance, 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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