tis
is used to create time-indexed series objects. as.tis
and is.tis
coerce an object to a time-indexed
series and test whether an object is a time-indexed series.
tis(data, start = 1, tif = NULL, frequency = NULL, end = NULL)
as.tis(x, ...)
## S3 method for class 'ts':
as.tis(x, ...)
## S3 method for class 'tis':
as.tis(x, ...)
## S3 method for class 'default':
as.tis(x, ...)
is.tis(x)
ti
object, or
anything that ti(start, tif = tif, freq = frequency)
, can turn into a {ti} object.as.tis.default
passes x
and ...to the
constructor function tis
.tif()
with no arguments returns a list of the allowable
numerical codes and names.tif
, some tif
s can
alternatively be specified by their frequency, such as 1 (annual), 2
(semiannual), 4 (quarterly), 6 (bimonthly), 12 (monthly), 24
(semimonthly), 26 (biweekly), 36 (tenday), 5start
.is.tis
) or converted into a tis
object. As described in the details below, as.tis
can deal with
several different kinds of x
.tis
and as.tis
return time-indexed series.
is.tis
returns TRUE or FALSE.tis
is used to create tis
objects, which
are vectors or matrices with class of "tis"
and a start
attribute that is a ti
(time index) object. Time-indexed
series are a form of time series that is more flexible
than the standard ts
time series. While observations for a
ts
object are supposed to have been sampled at equispaced
points in time, the observation times for a tis
object are the
times given by successive increments of the more flexible time index
contained in the series start
attribute. There is a close
correspondence between Fame time series and tis
objects, in
that all of the Fame frequencies have corresponding tif
codes. tis
objects operate much like vanilla R ts
objects.
Most of the methods implemented for ts
objects have tis
variants as well. Evaluate methods(class = "tis")
to see a
list of them.
One way or another, tis
needs to figure out how to create a
start
attribute. If start
is supplied, the function
ti
is called with it, tif
and frequency
as
arguments. The same process is repeated for end
if it was
supplied. If only one of start
and end
was supplied, the
other is inferred from it and the number of observations in data
. If
both start
and end
are supplied, the function rep
is used to make data
the length implied by end - start + 1
.
as.tis
is a generic function with specialized methods for other
kinds of time series. The fallback default method calls
tis(x, ...)
.
ts
. See ti
for
details on time indexes. cbind.tis
combines several
time indexed series into a multivariate tis
, while
mergeSeries
merges series, and convert
and
aggregate
convert series from one frequency to another.
start.tis
and \code{end.tis} return ti
objects, while ti.tis
returns a vector ti
. There
is a print method print.tis
and several plotting
methods, including lines.tis
and points.tis
.
The window.tis
method is also sufficiently different
from the ts
one to deserve its own documentation.tis(1:48, start = c(2000, 1), freq = 12)
tis(1:48, start = ti(20000101, tif = "monthly")) ## same result
tis(0, start = c(2000,1), end = c(2000,52), tif = "weekly")
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