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low = FALSE, high = FALSE)
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10 |
low = FALSE, high = FALSE)
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}
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}
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\alias{mad}
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12 |
\alias{mad}
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\arguments{
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\arguments{
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\item{x}{a numeric vector.}
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\item{x}{a numeric vector.}
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\item{center}{Optionally, the centre: defaults to the median.}
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\item{center}{optionally, a number, the centre: defaults to the median.}
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\item{constant}{scale factor.}
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\item{constant}{scale factor.}
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\item{na.rm}{if \code{TRUE} then \code{NA} values are stripped
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\item{na.rm}{if \code{TRUE} then \code{NA} values are stripped
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from \code{x} before computation takes place.}
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from \code{x} before computation takes place.}
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\item{low}{if \code{TRUE}, compute the \sQuote{lo-median}, i.e., for even
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19 |
\item{low}{if \code{TRUE}, compute the \sQuote{lo-median} of the absolute
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sample size, do not average the two middle values, but take the
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20 |
deviations, i.e., for even sample size, do not average the two middle
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smaller one.}
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values, but take the smaller one.}
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| - |
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22 |
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\item{high}{if \code{TRUE}, compute the \sQuote{hi-median}, i.e., take the
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23 |
\item{high}{if \code{TRUE}, compute the \sQuote{hi-median} of \eqn{|x - <center>|}, i.e., take the
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larger of the two middle values for even sample size.}
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24 |
larger of the two middle values for even sample size.}
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}
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}
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\description{
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26 |
\description{
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Compute the median absolute deviation, i.e., the (lo-/hi-) median of
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27 |
Compute the median absolute deviation, i.e., the (lo-/hi-) median of
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the absolute deviations from the median, and (by default) adjust by a
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the absolute deviations from the median (or another \code{center}), and (by default) adjust by a
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factor for asymptotically normal consistency.
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factor for asymptotically normal consistency.
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}
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}
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\details{
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31 |
\details{
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The actual value calculated is \code{constant * cMedian(abs(x - center))}
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The actual value calculated is \code{constant * cMedian(abs(x - center))}
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with the default value of \code{center} being \code{median(x)}, and
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with the default value of \code{center} being \code{median(x)}, and
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The R Project SVN
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