get_training_sample: get.training.sample
In IFIproteomics/E2Predictor:

separates a data frame into two data frames for training and testing in ML classification.

1	get_training_sample(df, class_category, factor.training, grep_rowname = NULL)

`df`	data frame containing a whole data set.
`class_category`	boolean column name used for classification.
`factor.training`	percentage of data used for training. It takes the portion factor.training from the smallest class and a equivalent number of elements from the biggest class.
`grep_rowname`	string containing a regular expression that limits the elements used for the training by choosing matching elements at rowname.