My dataset has 16 subjects, each subject was exposed to 3 treatments, each treatment was repeated 4 times. So there is a correlation b/w the 4 times within a treatment, and another correlation factor b/w the 3 treatments within a subjects. The data looks like
ID Treatment Time
1 1 1
1 1 2
... ... ...
1 1 4
1 2 1
... ... ...
1 2 4
... ... ...
1 3 4
So the correlation matrix for subject 1 should be a 12*12 matrix, formed by 3*3=9 block matrices, and each matrix is a 4*4. The 3 diagonal 4*4 matrices should be the same. The off-diagonal 4*4 matrices don't need to be the same.
There are 2 difference correlation factors within a subject. My question is how to specify such a correlation matrix. Hopefully the correlation matrix should look like something like this
1 .5 .5 .5 .3 .3 .3 .3 .1 .1 .1 .1
.5 1 .5 .5 .3 .3 .3 .3 .1 .1 .1 .1
.5 .5 1 .5 .3 .3 .3 .3 .1 .1 .1 .1
.5 .5 .5 1 .3 .3 .3 .3 .1 .1 .1 .1
.3 .3 .3 .3 1 .5 .5 .5 .2 .2 .2 .2
.3 .3 .3 .3 .5 1 .5 .5 .2 .2 .2 .2
.3 .3 .3 .3 .5 .5 1 .5 .2 .2 .2 .2
.3 .3 .3 .3 .5 .5 .5 1 .2 .2 .2 .2
.1 .1 .1 .1 .2 .2 .2 .2 1 .5 .5 .5
.1 .1 .1 .1 .2 .2 .2 .2 .5 1 .5 .5
.1 .1 .1 .1 .2 .2 .2 .2 .5 .5 1 .5
.1 .1 .1 .1 .2 .2 .2 .2 .5 .5 .5 1
