eafs: Exact computation of the EAF

In eaf: Plots of the Empirical Attainment Function

Description

This function computes the EAF given a set of 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").

Author(s)

Manuel López-Ibáñez

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 <- data.frame(x, groups = "spherical")
x <- rbind(x, 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 Dec. 21, 2021, 5:06 p.m.