The returned array of values is of dimension [J,K1,K2,B+1],
where J=length(frequencies), K1=length(levels.1),
K2=length(levels.2)), and B denotes the
value stored in slot B of freqRep [that is the number of
boostrap repetitions performed on initialization].
At position (j,k1,k2,b)
the returned value is the one corresponding to frequencies[j],
levels.1[k1] and levels.2[k2] that are closest to the
frequencies, levels.1 and levels.2
available in object; closest.pos is used to determine
what closest to means. b==1 corresponds to the estimate without
bootstrapping; b>1 corresponds to the b-1st bootstrap estimate.
# S4 method for SmoothedPG
getValues(
object,
frequencies = 2 * pi * (0:(lenTS(object@qPG@freqRep@Y) -
1))/lenTS(object@qPG@freqRep@Y),
levels.1 = getLevels(object, 1),
levels.2 = getLevels(object, 2),
d1 = 1:(dim(object@values)[2]),
d2 = 1:(dim(object@values)[4])
)Returns data from the array values that's a slot of
object.
SmoothedPG of which to get the values
a vector of frequencies for which to get the values
the first vector of levels for which to get the values
the second vector of levels for which to get the values
optional parameter that determine for which j1 to return the data; may be a vector of elements 1, ..., D
same as d1, but for j2
If not only one, but multiple time series are under study, the dimension of
the returned vector is of dimension [J,P,K1,P,K2,B+1], where P
denotes the dimension of the time series.
An example on how to use this function is analogously to the example given in
getValues-QuantilePG.