Are you taking the same online course as Barth Riley, who posed a very similar question only this morning?

On Mar 24, 2011, at 11:07 AM, Hui Du wrote:

Hi All,

               Suppose I have data like

b[[1]] = matrix(1:4, 2, 2)
b[[2]] = matrix(10:13, 2, 2)
b[[3]] = matrix(20:23, 2, 2)

[[1]]
    [,1] [,2]
[1,]    1    3
[2,]    2    4

[[2]]
    [,1] [,2]
[1,]   10   12
[2,]   11   13

[[3]]
    [,1] [,2]
[1,]   20   22
[2,]   21   23

Now I want to calculate the mean of each cell across the list. For example mean of (b[[1]][1,1], b[[2]][1,1], b[[3]] [1,1]), mean of (b[[1]][1,2], b[[2]][1,2], b[[3]][1,2]) etc. e.g. mean of (1, 10, 20), mean of(3, 12, 22). Could somebody tell me how to do it? Thank you in advance.

> vec <- do.call("c", b)  # turns values into a long vector
> dim(vec) <- c(length(b[[1]], length(b)) # "folds" it, so it is three columns "wide"
> rowMeans(vec)
[1] 10.33333 11.33333 12.33333 13.33333


This is done in row-major order as are all of R's matrix operations, so it's not exactly what you asked for, but you will need to get used to row-first order if you're going to use R.
--

David Winsemius, MD
West Hartford, CT

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