Try this:
a <- mvrnorm(100, m, c)
On Wed, Jan 27, 2010 at 9:50 AM, ayu2008 <ayuazwal at yahoo.com>
wrote:>
>
> Hi dear users,
>
> I try to split a matrix into a few matrices, for example, suppose that I
> have 1000X4 matrix from mvrnorm(1000,m,c) with
>
> m<-matrix(c(0,0,0,2),4,1) ? and
>
c<-matrix(c(1.0,0.2,-0.5,0.3,0.2,1,0.2,-0.5,-0.5,0.2,1,0.2,0.3,-0.5,0.2,1),4,4,byrow=T)
>
>
> How to split the matrix into
>
> a. 2 matrices which the first one consists of the first 500 rows, and the
> second one consist of the last 500 rows
split(as.data.frame(a), rep(1:2, each = 500))
>
> b. split the matrix equally and sequentially (according to the order of the
> rows) into say 10 matrices with 100 x 4 dimension
split(as.data.frame(a), rep(1:100, each = 10))
> c. how to do (b) randomly, not following the order of the rows, but without
> any overlapping. So all the 10 matrices will consists of different values
> from the original matrix.
split(as.data.frame(a)[sample(1:nrow(a)),], rep(1:10, each = 10))
> Your help is very much appreciated....thank you
>
>
> ayu
> --
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>
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--
Henrique Dallazuanna
Curitiba-Paran?-Brasil
25? 25' 40" S 49? 16' 22" O