\HeaderA{hist.scott}{Plot a Histogram with Automatic Bin Width Selection}{hist.scott}
\aliasA{hist.FD}{hist.scott}{hist.FD}
\keyword{hplot}{hist.scott}
\keyword{dplot}{hist.scott}
\begin{Description}\relax
Plot a histogram with automatic bin width selection, using the Scott
or Freedman--Diaconis formulae.
\end{Description}
\begin{Usage}
\begin{verbatim}
hist.scott(x, prob = TRUE, xlab = deparse(substitute(x)), ...)
hist.FD(x, prob = TRUE, xlab = deparse(substitute(x)), ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] A data vector
\item[\code{prob}] Should the plot have unit area, so be a density estimate?
\item[\code{xlab, ...}] Further arguments to \code{hist}.
\end{ldescription}
\end{Arguments}
\begin{Value}
For the \code{nclass.*} functions, the suggested number of classes.
\end{Value}
\begin{Section}{Side Effects}
Plot a histogram.
\end{Section}
\begin{References}\relax
Venables, W. N. and Ripley, B. D. (2002)
\emph{Modern Applied Statistics with S.}
Springer.
\end{References}
\begin{SeeAlso}\relax
\code{\LinkA{hist}{hist}}
\end{SeeAlso}

