1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/whv.R
\name{whv_rect}
\alias{whv_rect}
\alias{total_whv_rect}
\title{Compute (total) weighted hypervolume given a set of rectangles}
\usage{
whv_rect(data, rectangles, reference, maximise = FALSE)
total_whv_rect(
data,
rectangles,
reference,
maximise = FALSE,
ideal = NULL,
scalefactor = 0.1
)
}
\arguments{
\item{data}{(\code{matrix} | \code{data.frame}) \cr Matrix or data frame of numerical
values, where each row gives the coordinates of a point.}
\item{rectangles}{(\code{matrix()}) Weighted rectangles that will bias the
computation of the hypervolume. Maybe generated by \code{\link[=eafdiff]{eafdiff()}} with
\code{rectangles=TRUE} or by \code{\link[=choose_eafdiff]{choose_eafdiff()}}.}
\item{reference}{(\code{numeric()}) \cr Reference point as a vector of numerical values.}
\item{maximise}{(\code{logical()} | \code{logical(1)}) \cr 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.}
\item{ideal}{(\code{numeric()}) \cr Ideal point as a vector of numerical values. If \code{NULL}, it is calculated as minimum (resp. maximum if maximising that objective) of each objective in \code{data}.}
\item{scalefactor}{(\code{numeric(1)}) real value within \eqn{(0,1]} that scales
the overall weight of the differences. This is parameter psi (\eqn{\psi}) in \citet{DiaLop2020ejor}.}
}
\value{
A single numerical value.
}
\description{
Calculates the hypervolume weighted by a set of rectangles (with zero weight outside the rectangles). The function \code{\link[=total_whv_rect]{total_whv_rect()}} calculates the total weighted hypervolume as \code{\link[=hypervolume]{hypervolume()}}\code{ + scalefactor * abs(prod(reference - ideal)) * whv_rect()}. The details of the computation are given by \citet{DiaLop2020ejor}.
}
\details{
TODO
}
\examples{
rectangles <- as.matrix(read.table(header=FALSE, text='
1.0 3.0 2.0 Inf 1
2.0 3.5 2.5 Inf 2
2.0 3.0 3.0 3.5 3
'))
whv_rect (matrix(2, ncol=2), rectangles, reference = 6)
whv_rect (matrix(c(2, 1), ncol=2), rectangles, reference = 6)
whv_rect (matrix(c(1, 2), ncol=2), rectangles, reference = 6)
total_whv_rect (matrix(2, ncol=2), rectangles, reference = 6, ideal = c(1,1))
total_whv_rect (matrix(c(2, 1), ncol=2), rectangles, reference = 6, ideal = c(1,1))
total_whv_rect (matrix(c(1, 2), ncol=2), rectangles, reference = 6, ideal = c(1,1))
}
\references{
\insertAllCited{}
}
\seealso{
\code{\link[=read_datasets]{read_datasets()}}, \code{\link[=eafdiff]{eafdiff()}}, \code{\link[=choose_eafdiff]{choose_eafdiff()}}, \code{\link[=whv_hype]{whv_hype()}}
}
\concept{metrics}
|