[R] Data Manipulation - make diagonal matrix of each element of a matrix

[Clemontina Alexander]

I'm sorry, the indices of my X matrix are wrong.
It should be:

 X =     x11      0      0     x12      0      0
              0   x11      0        0   x12      0
              0      0   x11        0      0   x12
           x21      0      0     x22      0      0
              0   x21      0        0   x22      0
              0      0   x21        0      0   x22
                       ...
           xn1      0      0     x52      0      0
              0   xn1      0        0   x52      0
              0      0   xn1        0      0   x52

or

 X =     -0.63        0          0    -0.82         0         0
              0   -0.630          0         0    -0.82         0
              0          0   -0.630         0          0   -0.82
           0.18        0          0     0.49          0         0
              0     0.18          0         0      0.49         0
              0         0      0.18         0          0     0.49
                       ...
            0.33      0          0    -0.31          0          0
              0    0.33          0          0    -0.31          0
              0        0      0.33          0         0     -0.31

Sorry for the confusion.
Tina








On Thu, Dec 15, 2011 at 10:02 AM, Clemontina Alexander
<ckalexa2 at ncsu.edu> wrote:
> Dear R list,
> I have the following data:
>
> set.seed(1)
> n  <- 5     # number of subjects
> tt <- 3     # number of repeated observation per subject
> numco <- 2  # number of covariates
> x <- matrix(round(rnorm(n*numco),2), ncol=numco)   # the actual covariates
> x
>> x
>      [,1]  [,2]
> [1,] -0.63 -0.82
> [2,]  0.18  0.49
> [3,] -0.84  0.74
> [4,]  1.60  0.58
> [5,]  0.33 -0.31
>
> I need to form a matrix X such that
> X =      x11      0      0     x21      0      0
>              0   x11      0        0   x21      0
>              0      0   x11        0      0   x21
>           x12      0      0     x22      0      0
>              0   x12      0        0   x22      0
>              0      0   x12        0      0   x22
>                       ...
>           x15      0      0     x25      0      0
>              0   x15      0        0   x25      0
>              0      0   x15        0      0   x25
> where both tt and numco can change. (So if tt=5 and numco=4, then X
> needs to have 20 columns and n*tt rows. Each diagonal matrix should be
> 5x5 and there will be 4 of them for the 4 covariates.) I wrote this
> funky for loop:
>
> idd <- length(diag(1,tt))    # length of intercept matrix
> X <- matrix(numeric(n*numco*idd),ncol=tt*numco)
> for(i in 1:numco){
>      X[,((i-1)*tt+1):(i*tt)] <- matrix(
>        c(matrix(rep(diag(1,tt),n),ncol=tt, byrow=TRUE))   *
> rep(rep(x[,i],each=tt),tt)
>       , ncol=tt)
> }
> X
>
> It works fine, but is there an easier way when n, tt, and numco get
> larger and larger?
> Thanks,
> Tina
>
>
> --
> Clemontina Alexander
> Ph.D Student
> Department of Statistics
> NC State University
> Email: ckalexa2 at ncsu.com



-- 
Clemontina Alexander
Ph.D Student
Department of Statistics
NC State University
Raleigh, NC 27695
Phone: (850) 322-6878
Email: ckalexa2 at ncsu.com