Not answering the question, but if you have the same dimensions of the
matrices everywhere, it is much more efficient to sample all numbers in
a row and put stuff into an array:
array(rnorm(5*4), dim=c(2,2,5)))
Best,
Uwe Ligges
On 09.11.2016 19:51, Marc Schwartz wrote:
On Nov 9, 2016, at 12:41 PM, Marc Schwartz <marc_schwa...@me.com> wrote:
On Nov 9, 2016, at 12:32 PM, Evan Cooch <evan.co...@gmail.com> wrote:
So, its easy enough to create a random matrix, using something like (say)
matrix(rnorm(4),2,2)
which generates a (2x2) matrix with random N(0,1) in each cell.
But, what I need to be able to do is create a 'list' of such random matrices,
where the length of the list (i.e., the number of said random matrices I store
in the list) is some variable I can pass to the function (or loop).
I tried the obvious like
hold <- list()
for (i in 1:5) {
hold[[i]] <- matrix(rnorm(4),2,2)
}
While this works, it seems inelegant, and I'm wondering if there is a better
(more efficient) way to accomplish the same thing -- perhaps avoiding the loop.
Thanks in advance...
Hi,
See ?replicate
Example:
## Create a list of 5 2x2 matrices
Sorry, correction on my reply.
I copied the wrong output, It should be:
replicate(5, matrix(rnorm(4), 2, 2), simplify = FALSE)
[[1]]
[,1] [,2]
[1,] 0.9700486 1.4249251
[2,] 0.7621312 0.8267747
[[2]]
[,1] [,2]
[1,] 0.4517927 0.2047509
[2,] 0.6336959 -0.6028124
[[3]]
[,1] [,2]
[1,] 0.6468823 0.4268734
[2,] 0.1664907 0.3905180
[[4]]
[,1] [,2]
[1,] -0.3170839 -1.0113201
[2,] -1.5356600 0.9658132
[[5]]
[,1] [,2]
[1,] -1.1937503 -0.2653502
[2,] 0.9319919 0.1780254
The 'simplify' argument should be FALSE, so that an array is not created.
Regards,
Marc Schwartz
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