Nothing
# call -------------------------------------------------------------------------
# this seems straigtforward
mdta <- cbind(a = AirPassengers, b = AirPassengers)
# multiple series, one spec
seas(x = mdta, x11 = "")
# R multimode
seas(x = mdta, x11 = "", multimode = "R")
seas(x = mdta, x11 = "", multimode = "x13")
# Open question: which default to use - speed vs stability, ease of debugging
# series as a list
m <- seas(x = list(a = mdeaths, b = AirPassengers), x11 = "", list = list(list(), list(outlier.critical = 3)))
m_a <- seas(mdeaths, x11 = "")
m_b <- seas(AirPassengers, x11 = "", outlier.critical = 3)
stopifnot(all.equal(final(m$a), final(m_a)))
stopifnot(all.equal(final(m$b), final(m_b)))
stopifnot(all.equal(original(m$a), original(m_a)))
stopifnot(all.equal(original(m$b), original(m_b)))
stopifnot(all.equal(trend(m$a), trend(m_a)))
stopifnot(all.equal(trend(m$b), trend(m_b)))
stopifnot(all.equal(irregular(m$a), irregular(m_a)))
stopifnot(all.equal(irregular(m$b), irregular(m_b)))
# use with tsbox
# seas(x = tsbox::ts_tslist(tsbox::ts_c(mdeaths, fdeaths)), x11 = "")
# alternatively, using list =
seas(x = mdta, list = list(x11 = ""))
# multiple series, multiples specs
seas(
x = mdta,
# lengths of list must be equal to number of series
list = list(
list(x11 = ""),
list()
)
)
# this would be nice: specify SOME specs.args for all series
seas(
x = mdta,
regression.aictest = NULL,
list = list(
list(x11 = ""),
list()
)
)
# alternatively, use x in lists
seas(
# lengths of list must be equal to number of series
list = list(
list(x = AirPassengers, x11 = ""),
list(x = AirPassengers)
)
)
# composite spec ---------------------------------------------------------------
# same spec for all series
m <- seas(
cbind(mdeaths, fdeaths),
composite = list(), # adding an empty composite will use the seas() defaults for the indirect adjustment
series.comptype = "add" # may be added automatically if composite is not NULL
)
m <- seas(
cbind(mdeaths, fdeaths),
series.comptype = "add",
composite = list(x11 = ""), # use x11 for indirect adjustment
)
# different spec for all series
m <- seas(
cbind(mdeaths, fdeaths),
series.comptype = "add",
composite = list(
regression.aictest = NULL,
x11.seasonalma = "s3x9"
),
list = list(
list(x11 = ""),
list()
)
)
# extractor functions ----------------------------------------------------------
m <- seas(x = cbind(mdeaths, fdeaths), x11 = "")
final(m)
original(m)
trend(m)
irregular(m)
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