Description Usage Arguments Value Examples
View source: R/graph.utility.R
This function splits a dataset in k-fold in an unstratified way, i.e. a fold does not contain an equal amount of positive and negative examples. This function is used to perform k-fold cross-validation experiments in a hierarchical correction contest where splitting dataset in a stratified way is not needed.
1 | do.unstratified.cv.data(S, kk = 5, seed = NULL)
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S |
matrix of the flat scores. It must be a named matrix, where rows are example (e.g. genes) and columns are classes/terms (e.g. GO terms). |
kk |
number of folds in which to split the dataset ( |
seed |
seed for the random generator. If |
a list with k=kk components (folds). Each component of the list is a character vector contains the index of the examples, i.e. the index of the rows of the matrix S.
1 2 | data(scores);
foldIndex <- do.unstratified.cv.data(S, kk=5, seed=23);
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