Compute summary statistics of resampling-based prediction error results.
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an object inheriting from class
a function to compute the summary statistics.
a character, integer or logical vector indicating the columns of prediction error results for which to compute the summary statistics.
"perry" method returns a vector or matrix of aggregated
prediction error results, depending on whether
FUN returns a single
value or a vector.
For the other methods, a data frame containing the aggregated
prediction error results for each model is returned. In the case of the
"perryTuning" method, the data frame contains the combinations of
tuning parameters rather than a column describing the models.
Duplicate indices in
select are removed such
that all models and prediction error results are unique.
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