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 signature '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]))
Arguments
object: SmoothedPG of which to get the values
frequencies: a vector of frequencies for which to get the values
levels.1: the first vector of levels for which to get the values
levels.2: the second vector of levels for which to get the values
d1: optional parameter that determine for which j1 to return the data; may be a vector of elements 1, ..., D
d2: same as d1, but for j2
Returns
Returns data from the array values that's a slot of object.
Details
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.
See Also
An example on how to use this function is analogously to the example given in getValues-QuantilePG.