Compute the correlation matrix using two MatH objects having the same number of rows,
It returns a rectangular a matrix of numbers, consistent with
a set of distributions equipped with a L2 wasserstein metric.
Usage
WH.correlation2(object1, object2, ...)
# S4 method for MatH,MatH
WH.correlation2(object1, object2, w = numeric(0))
Value
a rectangular matrix with the weighted sum of squares
Arguments
object1
a MatH object
object2
a MatH object
...
some optional parameters
w
it is possible to add a vector of weights (positive numbers)
having the same size of the rows of the MatH object,
default = equal weight for each row
M1 <- BLOOD[, 1]
M2 <- BLOOD[, 2:3]
WH.correlation2(M1, M2)
# generate a set of random weightsRN <- runif(get.MatH.nrows(BLOOD))
WH.correlation2(M1, M2, w = RN)