\Header{plot.acf}{Plotting Autocovariance and Autocorrelation Functions}
\keyword{hplot}{plot.acf}
\keyword{ts}{plot.acf}
\begin{Description}\relax
Plotting method for objects of class \code{"acf"}.\end{Description}
\begin{Usage}
\begin{verbatim}
plot(x, ci = 0.95, type = "h",
     xlab = "Lag", ylab = NULL, ylim = NULL, main = NULL,
     ci.col="blue", ci.type=c("white", "ma"), ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] an object of class \code{"acf"}.
\item[\code{ci}] coverage probability for confidence interval.  Plotting of
the confidence interval is suppressed if \code{ci} is zero or
negative.
\item[\code{type}] the type of plot to be drawn, default to histogram like
vertical lines.
\item[\code{xlab}] the x label of the plot.
\item[\code{ylab}] the y label of the plot.
\item[\code{ylim}] numeric of length 2 giving the y limits for the plot.
\item[\code{main}] overall title for the plot.
\item[\code{ci.col}] colour to plot the confidence interval lines.
\item[\code{ci.type}] should the confidence limits assume a white noise
input or for lag \eqn{k}{} an MA(\eqn{k-1}{}) input?
\item[\code{...}] graphics parameters to be passed to the plotting
routines.
\end{ldescription}
\end{Arguments}
\begin{Note}\relax
The confidence interval plotted in \code{plot.acf} is based on an
\emph{uncorrelated} series and should be treated with appropriate
caution.  Using \code{ci.type = "ma"} may be less potentially
misleading.\end{Note}
\begin{SeeAlso}\relax
\code{\Link{acf}}\end{SeeAlso}

