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  If \code{scale} is \code{FALSE}, no scaling is done.
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  If \code{scale} is \code{FALSE}, no scaling is done.
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  The root-mean-square for a (possibly centered) column is defined as
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  The root-mean-square for a (possibly centered) column is defined as
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  \eqn{\sqrt{\sum(x^2)/(n-1)}}{sqrt(sum(x^2)/(n-1))}, where \eqn{x} is
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  \eqn{\sqrt{\sum(x^2)/(n-1)}}{sqrt(sum(x^2)/(n-1))}, where \eqn{x} is
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  a vector of the non-missing values and \eqn{n} is the number of
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  a vector of the non-missing values and \eqn{n} is the number of
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  non-missing values.  In the case \code{center=TRUE}, this is the
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  non-missing values.  In the case \code{center = TRUE}, this is the
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  same as the standard deviation, but in general it is not.  (To scale
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  same as the standard deviation, but in general it is not.  (To scale
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  by the standard deviations without centering, use
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  by the standard deviations without centering, use
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  \code{scale(x,center=FALSE,scale=apply(x,2,sd,na.rm=TRUE))}.)
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  \code{scale(x, center = FALSE, scale = apply(x, 2, sd, na.rm = TRUE))}.)
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}
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}
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\references{
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\references{
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  Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988)
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  Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988)
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  \emph{The New S Language}.
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  \emph{The New S Language}.
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  Wadsworth & Brooks/Cole.
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  Wadsworth & Brooks/Cole.
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  For working with the scale of a plot, see \code{\link{par}}.
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  For working with the scale of a plot, see \code{\link{par}}.
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}
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}
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\examples{
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\examples{
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require(stats)
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require(stats)
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x <- matrix(1:10, ncol=2)
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x <- matrix(1:10, ncol = 2)
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(centered.x <- scale(x, scale=FALSE))
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(centered.x <- scale(x, scale = FALSE))
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cov(centered.scaled.x <- scale(x))# all 1
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cov(centered.scaled.x <- scale(x)) # all 1
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}
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}
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\keyword{array}
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\keyword{array}