The returned array of values is of dimension [J,K1,K2],
where J=length(frequencies), K1=length(levels.1) and
K2=length(levels.2)). At position (j,k1,k2)
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.
# S4 method for LagEstimator
getValues(
object,
frequencies = 2 * pi * (0:(length(object@Y) - 1))/length(object@Y),
levels.1 = getLevels(object, 1),
levels.2 = getLevels(object, 2)
)Returns data from the array values that's a slot of
object.
LagEstimator 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
An example on how to use this function is analogously to the example given in
getValues-QuantilePG.