Compute a histogram that is the weighted sum 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.sum(object, ...)
# S4 method for MatH
WH.vec.sum(object, w = numeric(0))
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 cells
# NOT RUN {hsum<-WH.vec.sum(BLOOD)
# generate a set of random weightsRN<-runif(get.MatH.nrows(BLOOD)*get.MatH.ncols(BLOOD))
hsum<-WH.vec.sum(BLOOD,w=RN)
# }