\Header{lowess}{Scatter Plot Smoothing}
\keyword{smooth}{lowess}
\begin{Description}\relax
This function performs the computations for the
\emph{LOWESS} smoother (see the reference below).
\code{lowess} returns a list containing components
\code{x} and \code{y} which give the coordinates of the smooth.
The smooth should be added to a plot of the original
points with the function \code{lines}.\end{Description}
\begin{Usage}
\begin{verbatim}
lowess(x, y, f=2/3, iter=3, delta=.01*diff(range(x)))
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{x, y}] vectors giving the coordinates of the points in the scatter plot.
Alternatively a single plotting structure can be specified.
\item[\code{f}] the smoother span. This gives the proportion of points in
the plot which influence the smooth at each value.
Larger values give more smoothness.
\item[\code{iter}] the number of robustifying iterations which should be
performed.
Using smaller values of \code{iter} will make \code{lowess} run faster.
\item[\code{delta}] values of \code{x} which lie within \code{delta}
of each other replaced by a single value in the output from \code{lowess}.
\end{ldescription}
\end{Arguments}
\begin{References}\relax
Cleveland, W. S. (1979)
Robust locally weighted regression and smoothing scatterplots.
\emph{J. Amer. Statist. Assoc.} \bold{74}, 829--836.

Cleveland, W. S. (1981)
LOWESS: A program for smoothing scatterplots by robust locally weighted
regression. \emph{The American Statistician}, \bold{35}, 54.\end{References}
\begin{SeeAlso}\relax
\code{\Link{loess}} (in package \code{modreg}), a newer
formula based version of \code{lowess} (with different defaults!).\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
data(cars)
plot(cars, main = "lowess(cars)")
lines(lowess(cars), col = 2)
lines(lowess(cars, f=.2), col = 3)
legend(5, 120, c(paste("f = ", c("2/3", ".2"))), lty = 1, col = 2:3)
\end{ExampleCode}
\end{Examples}

