WH.var.covar2 {HistDAWass} | R Documentation |
Method WH.var.covar2
Description
Compute the covariance 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.var.covar2(object1, object2, ...)
## S4 method for signature 'MatH,MatH'
WH.var.covar2(object1, object2, w = numeric(0))
Arguments
object1 |
a |
object2 |
a |
... |
some optional parameters |
w |
it is possible to add a vector of weights (positive numbers)
having the same size of the rows of the |
Value
a rectangular matrix
with the weighted sum of squares
Examples
M1 <- BLOOD[, 1]
M2 <- BLOOD[, 2:3]
WH.var.covar2(M1, M2)
# generate a set of random weights
RN <- runif(get.MatH.nrows(BLOOD))
WH.var.covar2(M1, M2, w = RN)
[Package HistDAWass version 1.0.8 Index]