eafs: Exact computation of the EAF in 2D or 3D

In eaf: Plots of the Empirical Attainment Function

Exact computation of the EAF in 2D or 3D

Description

This function computes the EAF given a set of 2D or 3D points and a vector set that indicates to which set each point belongs.

Usage

eafs(points, sets, groups = NULL, percentiles = NULL)

Arguments

points	Either a matrix or a data frame of numerical values, where each row gives the coordinates of a point.
sets	A vector indicating which set each point belongs to.
groups	Indicates that the EAF must be computed separately for data belonging to different groups.
percentiles	(numeric()) Vector indicating which percentiles are computed. NULL computes all.

Value

A data frame (data.frame) containing the exact representation of EAF. The last column gives the percentile that corresponds to each point. If groups is not NULL, then an additional column indicates to which group the point belongs.

Note

There are several examples of data sets in system.file(package="eaf","extdata"). The current implementation only supports two and three dimensional points.

Author(s)

Manuel López-Ibáñez

References

\insertRef

Grunert01eaf

\insertRef

FonGueLopPaq2011emoeaf

See Also

read_datasets()

Examples

extdata_path <- system.file(package="eaf", "extdata")

x <- read_datasets(file.path(extdata_path, "example1_dat"))
# Compute full EAF
str(eafs(x[,1:2], x[,3]))

# Compute only best, median and worst
str(eafs(x[,1:2], x[,3], percentiles = c(0, 50, 100)))

x <- read_datasets(file.path(extdata_path, "spherical-250-10-3d.txt"))
y <- read_datasets(file.path(extdata_path, "uniform-250-10-3d.txt"))
x <- rbind(data.frame(x, groups = "spherical"),
           data.frame(y, groups = "uniform"))
# Compute only median separately for each group
z <- eafs(x[,1:3], sets = x[,4], groups = x[,5], percentiles = 50)
str(z)
# library(plotly)
# plot_ly(z, x = ~X1, y = ~X2, z = ~X3, color = ~groups,
#         colors = c('#BF382A', '#0C4B8E')) %>% add_markers()

eaf documentation built on April 4, 2025, 2:04 a.m.