random sample - R Take Non-sampled Rows from a Data Frame -

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A random sample of half lines of dataframe can take in this way: 

  Data (iris); Model_data & lt; - Iris data & lt; - Model_data half & lt; - (Nero (model_data))% /% 2 train & lt; - Model_data [sample (nero (model_data), half),]   
 However, I also have an easy way of taking those rows that were not sampled and for verification Has been added to another object named  val .   
 
 
 You enter  train  and  val  together, Maybe you can write functions to keep something like <
 
  foo & lt; - Function (Data) {Num & amp; Lt; - Sample (nero (data), nero (data) / 2) list (train = data [moist,], val = data [-samp,]) foo (mtcars) foo (iris)

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