Create functional objects
The function fds
is used to create general independent and identically distributed (i.i.d.) functional objects that are not ordered by time.
The function fts
is used to create functional time series objects.
The function sfts
is used to create sliced functional time series objects, where the x
variable is
also a time variable.
fds(x, y, xname, yname) fts(x, y, start = 1, frequency = 1, xname, yname) sfts(data, period = frequency(data), start = tsp(data)[1], frequency = 1, xname, yname)
x |
Numeric vector of length p. |
y |
Matrix of size p x n representing n functions of x observed at points 1,...,p. |
data |
An object of class |
period |
Time period of sliced functional data. For instance, |
start |
The time of the first observation. Either a single number or a vector
of two integers, which specify a natural time unit and a (1-based) number of
samples into the time unit. See |
frequency |
The number of observations per unit of time. |
xname |
Character string giving name of |
yname |
Character string giving name of |
An object of class fds
or fts
or sfts
.
Rob J Hyndman and Han Lin Shang
fds(x = 1:20, y = Simulationdata$y, xname = "x", yname = "Simulated value") fts(x = 15:49, y = Australiasmoothfertility$y, xname = "Age", yname = "Fertility rate") sfts(ts(as.numeric(ElNino_OISST_region_1and2$y), frequency = 12), xname = "Month", yname = "Sea surface temperature")
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