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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/normalise.R
\name{normalise}
\alias{normalise}
\title{Normalise points}
\usage{
normalise(data, to_range = c(1, 2), lower = NA, upper = NA, maximise = FALSE)
}
\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{to_range}{Normalise values to this range. If the objective is
maximised, it is normalised to \code{c(to_range[1], to_range[0])}
instead.}
\item{lower, upper}{Bounds on the values. If NA, the maximum and minimum
values of each coordinate are used.}
\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.}
}
\value{
A numerical matrix
}
\description{
Normalise points per coordinate to a range, e.g., \code{c(1,2)}, where the
minimum value will correspond to 1 and the maximum to 2. If bounds are
given, they are used for the normalisation.
}
\examples{
data(SPEA2minstoptimeRichmond)
# The second objective must be maximized
head(SPEA2minstoptimeRichmond[, 1:2])
head(normalise(SPEA2minstoptimeRichmond[, 1:2], maximise = c(FALSE, TRUE)))
head(normalise(SPEA2minstoptimeRichmond[, 1:2], to_range = c(0,1), maximise = c(FALSE, TRUE)))
}
\author{
Manuel \enc{López-Ibáñez}{Lopez-Ibanez}
}
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