largest_eafdiff: Identify largest EAF differences
In eaf: Plots of the Empirical Attainment Function

largest_eafdiff

R Documentation

Identify largest EAF differences

Description

Given a list of datasets, return the indexes of the pair with the largest EAF differences according to the method proposed by \citetDiaLop2020ejor.

Usage

largest_eafdiff(data, maximise = FALSE, intervals = 5, reference, ideal = NULL)

Arguments

`data`	(`list(1)`) A list of matrices with at least 3 columns
`maximise`	(`logical()` \| `logical(1)`) Whether the objectives must be maximised instead of minimised. Either a single logical value that applies to all objectives or a vector of logical values, with one value per objective.
`intervals`	(`integer(1)`) The absolute range of the differences `[0, 1]` is partitioned into the number of intervals provided.
`reference`	(`numeric()`) Reference point as a vector of numerical values.
`ideal`	(`numeric()`) Ideal point as a vector of numerical values. If `NULL`, it is calculated as minimum (resp. maximum if maximising that objective) of each objective in `data`.

Value

(list()) A list with two components pair and value.

References

\insertAllCited

Examples

# FIXME: This example is too large, we need a smaller one.
files <- c("wrots_l100w10_dat","wrots_l10w100_dat")
data <- lapply(files, function(x)
               read_datasets(file.path(system.file(package="eaf"),
                             "extdata", x)))
nadir <- apply(do.call(rbind, data)[,1:2], 2, max)
x <- largest_eafdiff(data, reference = nadir)
str(x)

eaf documentation built on Sept. 11, 2024, 8:45 p.m.