worst_score: Aggregation of scores: take the maximum (i.e. worst score...

In designit: Blocking and Randomization for Experimental Design

Aggregation of scores: take the maximum (i.e. worst score only)

Description

This function enables comparison of the results of two scoring functions by just basing the decision on the largest element. This corresponds to the infinity-norm in ML terms.

Usage

worst_score(scores, na.rm = FALSE, ...)

Arguments

scores	A score or multiple component score vector
na.rm	Boolean. Should NA values be ignored when obtaining the maximum? FALSE by default as ignoring NA values may hide some issues with the provided scoring functions and also the aggregated value cannot be seen as the proper infinity norm anymore.
...	Parameters to be ignored by this aggregation function

Value

The aggregated score, i.e. the value of the largest element in a multiple-component score vector.

Examples

worst_score(c(3, 2, 1))

designit documentation built on May 29, 2024, 12:04 p.m.