Compute a histogram that is the weighted mean of the set of histograms contained
in a MatH object, i.e. a matrix of histograms, consistent with
a set of distributions equipped with a L2 wasserstein metric.
Usage
WH.vec.mean(object, ...)
# S4 method for MatH
WH.vec.mean(object, w = numeric(0))
Value
a distributionH object, i.e. a histogram
Arguments
object
a MatH object
...
optional arguments
w
it is possible to add a vector of weights (positive numbers) having the same size of
the MatH object, default = equal weights for all
hmean <- WH.vec.mean(BLOOD)
# generate a set of random weightsRN <- runif(get.MatH.nrows(BLOOD) * get.MatH.ncols(BLOOD))
hmean <- WH.vec.mean(BLOOD, w = RN)