Thank you, that is much simpler!
On Thu, Dec 15, 2011 at 2:04 PM, Rui Barradas wrote:
> Hello,
>
> I believe I can help, or at least, my code is simpler.
> First, look at your first line:
>
> idd <- length(diag(1,tt)) # length of intercept matrix
> #
> not needed: diag(tt) would do the job bu
Hello,
I believe I can help, or at least, my code is simpler.
First, look at your first line:
idd <- length(diag(1,tt)) # length of intercept matrix
#
not needed: diag(tt) would do the job but it's not needed,
why call 2 functions, and one of them, 'diag', uses memory(*), if the
result
I'm sorry, the indices of my X matrix are wrong.
It should be:
X = x11 0 0 x12 0 0
0 x11 00 x12 0
0 0 x110 0 x12
x21 0 0 x22 0 0
0 x21 0
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,]
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