Sample with respect to an identification vector

This will sample the training and test sets so that case identifiers (e.g. subject ID's) are not shared across training and test sets.

resample_fold_train_test_split(X, y, train_size = 0.667, foldid = NULL,
  random_state = NULL)

Arguments

X	A data.frame, the data to be resampled.
y	A numeric vector with two classes, 0 and 1.
train_size	A numeric vector of length one; specifies what proportion of the data should be used for the training data set. Defaults to 0.667.
foldid	A vector with length equal to `length(y)` which identifies cases belonging to the same fold.
random_state	An integer vector of length one; specifies the seed to be used for the analysis. Defaults to NULL.

A boolean vector of length n_obs where TRUE represents that observation should be in the train set.