PeriodicMTS-class | R Documentation |
"PeriodicMTS"
Class "PeriodicMTS"
is the main class for multivariate periodic
time series in package "pcts"
.
Objects can be created by calls of the form
new("PeriodicMTS", ...)
but it is recommended to use
the function pcts
in most cases.
.Data
:Object of class "matrix"
,
the core data. Several functions can be used to extract it in
various formats, see Vec
.
cycle
:Object of class "BasicCycle"
,
representing the seasonal information, see
pcCycle
.
pcstart
:Object of class "ANY"
,
the time of the first observation.
Class "PeriodicTimeSeries"
, directly.
Class "matrix"
, from data part.
Class "Cyclic"
, by class "PeriodicTimeSeries", distance 2.
Class "array"
, by class "matrix", distance 2.
Class "mMatrix"
, by class "matrix", distance 2.
Class "optionalMatrix"
, by class "matrix", distance 2.
Class "structure"
, by class "matrix", distance 3.
Class "vector"
, by class "matrix", distance 4, with explicit coerce.
signature(x = "PeriodicMTS")
: ...
signature(x = "PeriodicMTS", i = "missing", j = "missing", drop = "ANY")
: ...
signature(x = "PeriodicMTS", i = "ANY", j = "missing", drop = "ANY")
: ...
signature(x = "PeriodicMTS", i = "ANY", j = "ANY", drop = "ANY")
: ...
signature(x = "PeriodicMTS", i = "AnyDateTime", j = "missing", drop = "ANY")
: ...
signature(x = "PeriodicMTS", i = "AnyDateTime", j = "ANY", drop = "ANY")
: ...
signature(x = "PeriodicMTS", i = "ANY", j = "ANY")
: ...
signature(from = "mts", to = "PeriodicMTS")
: ...
signature(from = "PeriodicMTS", to = "ts")
: ...
signature(from = "ts", to = "PeriodicMTS")
: ...
signature(from = "PeriodicMTS", to = "Cyclic")
: ...
signature(from = "PeriodicMTS", to = "Cyclic")
: ...
signature(x = "PeriodicMTS", y = "missing")
: ...
signature(object = "PeriodicMTS")
: ...
signature(object = "PeriodicMTS")
: ...
signature(model = "PeriodicArModel", x = "PeriodicMTS")
: ...
signature(object = "PeriodicMTS")
: ...
signature(object = "PeriodicMTS")
: ...
class PeriodicTS
(univariate periodic time series),
pcts
(create periodic time series),
dataFranses1996
and pcts-package
for examples
pcfr <- pcts(dataFranses1996)
colnames(pcfr)[4] # "GermanyGNP"
## extracting single time series as univariate
class(pcfr[[4]]) # "PeriodicTS"
identical(pcfr[[4]], pcfr$GermanyGNP ) # TRUE
identical(pcfr[[4]], pcfr[["GermanyGNP"]]) # TRUE
plot(pcfr[[4]])
## ... and as multivariate
pcfr[4] # "PeriodicMTS"
plot(pcfr[4])
## extracting more than one time series
plot(pcfr[2:4])
summary(pcfr[2:4])
pcfr2 <- pcfr[[2]]
plot(pcfr2)
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