
Bind time series which have a common frequency. ts.union
pads
with NA
s to the total time coverage, ts.intersect
restricts to the time covered by all the series.
ts.intersect(…, dframe = FALSE)
ts.union(…, dframe = FALSE)
two or more univariate or multivariate time series, or objects which can coerced to time series.
logical; if TRUE
return the result as a data
frame.
A time series object if dframe
is FALSE
, otherwise a
data frame.
As a special case, …
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.
# NOT RUN {
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))
# }
Run the code above in your browser using DataLab