\HeaderA{ts.union}{Bind Two or More Time Series}{ts.union}
\aliasA{ts.intersect}{ts.union}{ts.intersect}
\keyword{ts}{ts.union}
\begin{Description}\relax
Bind time series which have a common frequency. \code{ts.union} pads
with \code{NA}s to the total time coverage, \code{ts.intersect}
restricts to the time covered by all the series.
\end{Description}
\begin{Usage}
\begin{verbatim}
ts.intersect(..., dframe = FALSE)
ts.union(..., dframe = FALSE)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{...}] two or more univariate or multivariate time series, or
objects which can coerced to time series.
\item[\code{dframe}] logical; if \code{TRUE} return the result as a data
frame.
\end{ldescription}
\end{Arguments}
\begin{Details}\relax
As a special case, \code{...} can contain vectors or matrices of the
same length as the combined time series of the time series present, as
well as those of a single row.
\end{Details}
\begin{Value}
A time series object if \code{dframe} is \code{FALSE}, otherwise a
data frame.
\end{Value}
\begin{SeeAlso}\relax
\code{\LinkA{cbind}{cbind}}.
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
ts.union(mdeaths, fdeaths)
cbind(mdeaths, fdeaths) # same as the previous line
ts.intersect(window(mdeaths, 1976), window(fdeaths, 1974, 1978))

sales1 <- ts.union(BJsales, lead = BJsales.lead)
ts.intersect(sales1, lead3 = lag(BJsales.lead, -3))
\end{ExampleCode}
\end{Examples}

