+++ /dev/null
-context("Moments_M3")
-
-# (Slower, but trusted) R version of Moments_M3
-.Moments_M3_R = function(X,Y)
-{
- library(tensor)
- n = nrow(X)
- d = ncol(X)
- v = rep(0,d)
- e = diag(rep(1,d))
-
- M31=M3_1=M3_2=M3_3 = tensor(tensor(v,v),v)
- for (i in 1:n)
- M31 = M31 + (Y[i]*tensor(tensor(X[i,],X[i,]),X[i,]))
- M31 = (1/n)*M31
-
- for(j in 1:d)
- {
- l1=l2=l3 = tensor(tensor(v,v),v)
- for(i in 1:n)
- {
- l1 = l1 + Y[i]*tensor(tensor(e[,j],X[i,]),e[,j])
- l2 = l2 + Y[i]*tensor(tensor(e[,j],e[,j]),X[i,])
- l3 = l3 + Y[i]*tensor(tensor(X[i,],e[,j]),e[,j])
- }
- l1 = (1/n)*l1
- l2 = (1/n)*l2
- l3 = (1/n)*l3
- M3_1 = M3_1+l1
- M3_2 = M3_2+l2
- M3_3 = M3_3+l3
- }
-
- M3 = M31-(M3_1+M3_2+M3_3)
- return (M3)
-}
-
-test_that("both versions of Moments_M3 agree on various inputs",
-{
- for (n in c(20,200))
- {
- for (d in c(2,10,20))
- {
- X = matrix( runif(n*d,min=-1,max=1), nrow=n )
- Y = runif(n,min=-1,max=1)
- M3 = .Moments_M3(X,Y)
- M3_R = .Moments_M3_R(X,Y)
- expect_equal(max(abs(M3 - M3_R)), 0)
- }
- }
-})