\HeaderA{plot.isoreg}{Plot Method for isoreg  Objects}{plot.isoreg}
\keyword{hplot}{plot.isoreg}
\keyword{print}{plot.isoreg}
\begin{Description}\relax
The \code{\LinkA{plot}{plot}} method for
\R{} objects of class \code{\LinkA{isoreg}{isoreg}}.
\end{Description}
\begin{Usage}
\begin{verbatim}
## S3 method for class 'isoreg':
plot(x, plot.type = c("single", "row.wise", "col.wise"),
      main = paste("Isotonic regression", deparse(x$call)),
      main2 = "Cumulative Data and Convex Minorant",
      xlab = "x0", ylab = "x$y",
      par.fit = list(col = "red", cex = 1.5, pch = 13, lwd = 1.5),
      mar = if (both) 0.1 + c(3.5, 2.5, 1, 1) else par("mar"),
      mgp = if (both) c(1.6, 0.7, 0) else par("mgp"),
      grid = length(x$x) < 12, ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] an \code{\LinkA{isoreg}{isoreg}} object.
\item[\code{plot.type}] character indicating which type of plot is desired.
The first (default) only draws the data and the fit, where the
others add a plot of the cumulative data and fit.
\item[\code{main}] main title of plot, see \code{\LinkA{title}{title}}.
\item[\code{main2}] title for second (cumulative) plot.
\item[\code{xlab, ylab}] x- and y- axis annotation.
\item[\code{par.fit}] a \code{\LinkA{list}{list}} of arguments (for
\code{\LinkA{points}{points}} and \code{\LinkA{lines}{lines}}) for drawing the fit.
\item[\code{mar, mgp}] graphical parameters, see \code{\LinkA{par}{par}}, mainly
for the case of two plots.
\item[\code{grid}] logical indicating if grid lines should be drawn.  If
true, \code{\LinkA{grid}{grid}()} is used for the first plot, where as
vertical lines are drawn at \dQuote{touching} points for the
cumulative plot.
\item[\code{...}] further arguments passed to and from methods.
\end{ldescription}
\end{Arguments}
\begin{SeeAlso}\relax
\code{\LinkA{isoreg}{isoreg}} for computation of \code{isoreg} objects.
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
example(isoreg) # for the examples there

## 'same' plot as above, "proving" that only ranks of 'x' are important
plot(isoreg(2^(1:9), c(1,0,4,3,3,5,4,2,0)), plot.t = "row", log = "x")

plot(ir3, plot.type = "row", ylab = "y3")
plot(isoreg(y3 - 4), plot.t="r", ylab = "y3 - 4")
plot(ir4, plot.type = "ro",  ylab = "y4", xlab = "x = 1:n")

## experiment a bit with these (C-c C-j):
plot(isoreg(sample(9),  y3), plot.type="row")
plot(isoreg(sample(9),  y3), plot.type="col.wise")

plot(ir <- isoreg(sample(10), sample(10, replace = TRUE)), plot.t = "r")
\end{ExampleCode}
\end{Examples}

