Nothing
statvc4levelt2 <-
function(y,cluster,m1,n1,m2,n2,m3,n3,p,weight){
# y = Matrix Nxp (N obs, p=dimension) of (maybe standardized; signs or ranks) data
# cluster = List of indices (each element gives the indices of the obs in a level 3 cluster nested within a level 2 cluster nested within a level 1 cluster). From the "preparecluster" function.
# N = Total number of observations
# p = Dimension
# m1 = Number of level 1 clusters
# n1 = Number of observations in each level 1 cluster (vector m1X1)
# m2 = Number of level 2 clusters within each level 1 cluster (vector m1X1)
# n2 = Number of observations in each level 2 cluster within each level 1 cluster (list of size m1)
# m3 = Number of level 3 clusters nested within each combination of level 1 and level 2 clusters (list of size m1)
# n3 = Number of observations in each level 3 cluster nested within each combination of level 1 and level 2 clusters (list of size m1)
mat=matrix(0,p,p)
w=0
for(i in 1:m1)
{
clusteri=cluster[[i]]
m1i=m2[i]
m2i=m3[[i]]
n2i=n3[[i]]
mati=statvc3levelt1(y,clusteri,m1i,m2i,n2i,p,weight)
mat=mat+mati[[1]]
w=w+mati[[2]]
}
list(mat,w)
}
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