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\name{seqplot.ts}
\alias{seqplot.ts}
\title{Plot Two Time Series}
\description{
Plot two time series on the same plot frame.
}
\usage{
seqplot.ts(x, y, colx = "black", coly = "red", typex = "l",
typey = "l", pchx = 1, pchy = 1, ltyx = "solid",
ltyy = "solid", oma = c(6, 0, 5, 0), ann = par("ann"),
xlab = "Time", ylab = deparse(substitute(x)), main = NULL)
}
\arguments{
\item{x, y}{the time series.}
\item{colx, coly}{color code or name for the \code{x} and \code{y}
series, see \code{\link{colors}}, \code{\link{palette}}.}
\item{typex, typey}{what type of plot should be drawn for the \code{x}
and \code{y} series, see \code{\link{plot}}.}
\item{pchx, pchy}{character or integer code for kind of points/lines
for the \code{x} and \code{y} series.}
\item{ltyx, ltyy}{line type code for the \code{x} and \code{y} series,
see \code{\link{lines}}.}
\item{oma}{a vector giving the size of the outer margins in lines of
text, see \code{\link{par}}.}
\item{ann}{annotate the plots? See \code{\link{par}}.}
\item{xlab, ylab}{titles for the x and y axis.}
\item{main}{an overall title for the plot.}
}
\details{
Unlike \code{\link{plot.ts}} the series can have different time bases,
but they should have the same frequency. Unlike \code{\link{ts.plot}}
the series can be plotted in different styles and for multivariate
\code{x} and \code{y} the common variables are plotted together in a
separate array element.
}
\value{
None.
}
\author{A. Trapletti}
\seealso{
\code{\link{ts}}, \code{\link{plot.ts}}
}
\examples{
data(USeconomic)
x <- ts.union(log(M1), log(GNP), rs, rl)
m.ar <- ar(x, method = "ols", order.max = 5)
y <- predict(m.ar, x, n.ahead = 200, se.fit = FALSE)
seqplot.ts(x, y)
}
\keyword{hplot}
\keyword{ts}
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