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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data_rescale.R
\name{rescale}
\alias{rescale}
\alias{change_scale}
\alias{rescale.numeric}
\alias{rescale.data.frame}
\title{Rescale Variables to a New Range}
\usage{
rescale(x, ...)
change_scale(x, ...)
\method{rescale}{numeric}(x, to = c(0, 100), range = NULL, verbose = TRUE, ...)
\method{rescale}{data.frame}(
x,
select = NULL,
exclude = NULL,
to = c(0, 100),
range = NULL,
ignore_case = FALSE,
regex = FALSE,
verbose = FALSE,
...
)
}
\arguments{
\item{x}{A (grouped) data frame, numeric vector or factor.}
\item{...}{Arguments passed to or from other methods.}
\item{to}{Numeric vector of length 2 giving the new range that the variable will have after rescaling.
To reverse-score a variable, the range should be given with the maximum value first.
See examples.}
\item{range}{Initial (old) range of values. If \code{NULL}, will take the range of
the input vector (\code{range(x)}).}
\item{verbose}{Toggle warnings.}
\item{select}{Variables that will be included when performing the required
tasks. Can be either
\itemize{
\item a variable specified as a literal variable name (e.g., \code{column_name}),
\item a string with the variable name (e.g., \code{"column_name"}), or a character
vector of variable names (e.g., \code{c("col1", "col2", "col3")}),
\item a formula with variable names (e.g., \code{~column_1 + column_2}),
\item a vector of positive integers, giving the positions counting from the left
(e.g. \code{1} or \code{c(1, 3, 5)}),
\item a vector of negative integers, giving the positions counting from the
right (e.g., \code{-1} or \code{-1:-3}),
\item one of the following select-helpers: \code{starts_with()}, \code{ends_with()},
\code{contains()}, a range using \code{:} or \code{regex("")}. \code{starts_with()},
\code{ends_with()}, and \code{contains()} accept several patterns, e.g
\code{starts_with("Sep", "Petal")}.
\item or a function testing for logical conditions, e.g. \code{is.numeric()} (or
\code{is.numeric}), or any user-defined function that selects the variables
for which the function returns \code{TRUE} (like: \code{foo <- function(x) mean(x) > 3}),
\item ranges specified via literal variable names, select-helpers (except
\code{regex()}) and (user-defined) functions can be negated, i.e. return
non-matching elements, when prefixed with a \code{-}, e.g. \code{-ends_with("")},
\code{-is.numeric} or \code{-Sepal.Width:Petal.Length}. \strong{Note:} Negation means
that matches are \emph{excluded}, and thus, the \code{exclude} argument can be
used alternatively. For instance, \code{select=-ends_with("Length")} (with
\code{-}) is equivalent to \code{exclude=ends_with("Length")} (no \code{-}). In case
negation should not work as expected, use the \code{exclude} argument instead.
}
If \code{NULL}, selects all columns. Patterns that found no matches are silently
ignored, e.g. \code{find_columns(iris, select = c("Species", "Test"))} will just
return \code{"Species"}.}
\item{exclude}{See \code{select}, however, column names matched by the pattern
from \code{exclude} will be excluded instead of selected. If \code{NULL} (the default),
excludes no columns.}
\item{ignore_case}{Logical, if \code{TRUE} and when one of the select-helpers or
a regular expression is used in \code{select}, ignores lower/upper case in the
search pattern when matching against variable names.}
\item{regex}{Logical, if \code{TRUE}, the search pattern from \code{select} will be
treated as regular expression. When \code{regex = TRUE}, select \emph{must} be a
character string (or a variable containing a character string) and is not
allowed to be one of the supported select-helpers or a character vector
of length > 1. \code{regex = TRUE} is comparable to using one of the two
select-helpers, \code{select = contains("")} or \code{select = regex("")}, however,
since the select-helpers may not work when called from inside other
functions (see 'Details'), this argument may be used as workaround.}
}
\value{
A rescaled object.
}
\description{
Rescale variables to a new range.
Can also be used to reverse-score variables (change the keying/scoring direction).
}
\section{Selection of variables - the \code{select} argument}{
For most functions that have a \code{select} argument (including this function),
the complete input data frame is returned, even when \code{select} only selects
a range of variables. That is, the function is only applied to those variables
that have a match in \code{select}, while all other variables remain unchanged.
In other words: for this function, \code{select} will not omit any non-included
variables, so that the returned data frame will include all variables
from the input data frame.
}
\examples{
rescale(c(0, 1, 5, -5, -2))
rescale(c(0, 1, 5, -5, -2), to = c(-5, 5))
rescale(c(1, 2, 3, 4, 5), to = c(-2, 2))
# Specify the "theoretical" range of the input vector
rescale(c(1, 3, 4), to = c(0, 40), range = c(0, 4))
# Reverse-score a variable
rescale(c(1, 2, 3, 4, 5), to = c(5, 1))
rescale(c(1, 2, 3, 4, 5), to = c(2, -2))
# Data frames
head(rescale(iris, to = c(0, 1)))
head(rescale(iris, to = c(0, 1), select = "Sepal.Length"))
# One can specify a list of ranges
head(rescale(iris, to = list(
"Sepal.Length" = c(0, 1),
"Petal.Length" = c(-1, 0)
)))
}
\seealso{
See \code{\link[=makepredictcall.dw_transformer]{makepredictcall.dw_transformer()}} for use in model formulas.
Other transform utilities:
\code{\link{normalize}()},
\code{\link{ranktransform}()},
\code{\link{reverse}()},
\code{\link{standardize}()}
}
\concept{transform utilities}
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