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% File src/library/base/man/jitter.Rd
% Part of the R package, https://www.R-project.org
% Copyright 1995-2011 R Core Team
% Distributed under GPL 2 or later
\name{jitter}
\alias{jitter}
\title{\sQuote{Jitter} (Add Noise) to Numbers}
\usage{
jitter(x, factor = 1, amount = NULL)
}
\arguments{
\item{x}{numeric vector to which \emph{jitter} should be added.}
\item{factor}{numeric.}
\item{amount}{numeric; if positive, used as \emph{amount} (see below),
otherwise, if \code{= 0} the default is \code{factor * z/50}.
Default (\code{NULL}): \code{factor * d/5} where \code{d} is about
the smallest difference between \code{x} values.}
}
\description{
Add a small amount of noise to a numeric vector.
}
\value{
\code{jitter(x, \dots)} returns a numeric of the same length as
\code{x}, but with an \code{amount} of noise added in order to break
ties.
}
\details{
The result, say \code{r}, is \code{r <- x + runif(n, -a, a)}
where \code{n <- length(x)} and \code{a} is the \code{amount}
argument (if specified).
Let \code{z <- max(x) - min(x)} (assuming the usual case).
The amount \code{a} to be added is either provided as \emph{positive}
argument \code{amount} or otherwise computed from \code{z}, as
follows:
If \code{amount == 0}, we set \code{a <- factor * z/50} (same as S).
If \code{amount} is \code{NULL} (\emph{default}), we set
\code{a <- factor * d/5} where \emph{d} is the smallest
difference between adjacent unique (apart from fuzz) \code{x} values.
}
\references{
Chambers, J. M., Cleveland, W. S., Kleiner, B. and Tukey, P.A. (1983)
\emph{Graphical Methods for Data Analysis.} Wadsworth; figures 2.8,
4.22, 5.4.
Chambers, J. M. and Hastie, T. J. (1992)
\emph{Statistical Models in S.}
Wadsworth & Brooks/Cole.
}
\author{Werner Stahel and Martin Maechler, ETH Zurich}
\seealso{
\code{\link{rug}} which you may want to combine with \code{jitter}.
}
\examples{
round(jitter(c(rep(1, 3), rep(1.2, 4), rep(3, 3))), 3)
## These two 'fail' with S-plus 3.x:
jitter(rep(0, 7))
jitter(rep(10000, 5))
}
\keyword{dplot}
\keyword{utilities}