Splitting Data into Training and Test Sets with R

In this tutorial, you will learn how to split sample into training and test data sets with R.

The following code splits 70% of the data selected randomly into training set and the remaining 30% sample into test data set.

dt = sort(sample(nrow(data), nrow(data)*.7))

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3 Responses to "Splitting Data into Training and Test Sets with R"
  1. This comment has been removed by the author.

  2. This won't randomize the order, bad option

  3. One more way to split data into two part


    iris <- iris

    iris$spl <-sample.split(iris,SplitRatio = 0.7)
    train=subset(iris, iris$spl==TRUE)
    test <- subset(iris,iris$spl ==FALSE)


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