createfolds.Rdcreatefolds splits the data into k groups. Taken
from the caret package (see references for details)
createfolds(y, k = 10, list = FALSE, returnTrain = FALSE)
| y | vector of response |
|---|---|
| k | integer for the number of folds. |
| list | logical - should the results be in a list (TRUE) or a matrix |
| returnTrain | a logical. When true, the values returned are the sample
positions corresponding to the data used during training. This argument
only works in conjunction with |
A vector of CV fold ID's for each observation in y
For numeric y, the sample is split into groups sections based on percentiles and sampling is done within these subgroups