No, you can't. Because 'bind.array' doesn't take an arbitrary number of arguments. Robert's solution does what I had in mind.
Patrick Burns wrote:
You could use 'do.call' with 'bind.array' (from S Poetry) or 'abind' to convert your list of matrices into a three-dimensional array.
Patrick Burns
Burns Statistics [EMAIL PROTECTED] +44 (0)20 8525 0696 http://www.burns-stat.com (home of S Poetry and "A Guide for the Unwilling S User")
David Kane wrote:
Is there a simple way to calculate summary statistics for all the matrices or dataframes in a list? For example:
z <- list(matrix(c(2,2,2,2), ncol = 2), matrix(c(4,4,4,4), ncol = 2))
z
[[1]] [,1] [,2] [1,] 2 2 [2,] 2 2
[[2]]
[,1] [,2]
[1,] 4 4
[2,] 4 4
I would like to calculate, for example, the mean value for each cell. I can do that the hard way as:
(z[[1]] + z[[2]]) / 2
[,1] [,2]
[1,] 3 3
[2,] 3 3
But there must be an easier way. I am also interested in other statistics (like median and sd). Since all my matrices have the same attributes (especially row and column names), I would like to preserve those in the answer.
Thanks,
Dave Kane
In case it matters:
R.version
_ platform i686-pc-linux-gnu
arch i686 os linux-gnu system i686, linux-gnu status major 2 minor 1.0 year 2005 month 04 day 18 language R
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