r - How to perform element-wise statistics over numerous (distance) matrices -


i have several thousand distance matrices (converted matrix using as.dist()) , compute mean, sd, median etc each matrix element.

to illustrate:

matrix.a

1 7 1 5 2 1

matrix.b

2   3 4 1 1 3

etc...

for example, if have sum of individual elements do:

sum.matrix <- matrix.a + matrix.b

sum.matrix

3 10 5 6 3 4

but if have thousands of these matrices? , how can compute not sum each element means, sd etc? matrices stored in single list.

try

lst2 <- lapply(lst1, as.matrix) dim1 <- sapply(lst2, dim)[,1] l <- length(lst1) ar1 <- array(unlist(lst2), dim=c(dim1, l))   as.dist(apply(ar1, 1:2, sum)) as.dist(apply(ar1, 1:2, mean)) as.dist(apply(ar1, 1:2, sd))

data

set.seed(24) lst1 <- lapply(1:4, function(i) dist(sample(1:10,4, replace=true)))

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