Aggregation of scores: take first (primary) score only

This function enables comparison of the results of two scoring functions by just basing the decision on the first element. This reflects the original behavior of the optimization function, just evaluating the 'auxiliary' scores for the user's information.

first_score_only(scores, ...)

Arguments

scores

A score or multiple component score vector

...

Parameters to be ignored by this aggregation function

Value

The aggregated score, i.e. the first element of a multiple-component score vector.

Examples

first_score_only(c(1, 2, 3))
#> [1] 1