eafs: Exact computation of the EAF

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)

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.

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.

Author

Manuel López-Ibáñez

Examples

Run this code

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()

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