> Didn't you simply try:
>
> > A<-matrix(c(1.1,1.2,1.3,1.4,1.5,1.6),ncol=3)
> > B<-matrix(c(2.1,2.2,2.3,2.4,2.5,2.6),ncol=3)
> > C<-matrix(c(3.1,3.2,3.3,3.4,3.5,3.6),ncol=3)
> > A
> [,1] [,2] [,3]
> [1,] 1.1 1.3 1.5
> [2,] 1.2 1.4 1.6
> > B
> [,1] [,2] [,3]
> [1,] 2.1 2.3 2.5
> [2,] 2.2 2.4 2.6
> > C
> [,1] [,2] [,3]
> [1,] 3.1 3.3 3.5
> [2,] 3.2 3.4 3.6
> > rbind(A,B,C)
> [,1] [,2] [,3]
> [1,] 1.1 1.3 1.5
> [2,] 1.2 1.4 1.6
> [3,] 2.1 2.3 2.5
> [4,] 2.2 2.4 2.6
> [5,] 3.1 3.3 3.5
> [6,] 3.2 3.4 3.6
> > rbind(A,A,A)
> [,1] [,2] [,3]
> [1,] 1.1 1.3 1.5
> [2,] 1.2 1.4 1.6
> [3,] 1.1 1.3 1.5
> [4,] 1.2 1.4 1.6
> [5,] 1.1 1.3 1.5
> [6,] 1.2 1.4 1.6
>
This would be adequate for low dimensional dataset e.g. the example
you have give. What if you have a list of thousands of matrices. Is
there an efficient way of doing this other than looping?