I was hoping for something reproducible. I can't run your code or make
use of the data to save time in creating an example. Try this with
builtin anscombe:
> nc <- ncol(anscombe)
> sapply(seq(1, nc, 2), function(i) coef(lm.fit(cbind(1, anscombe[,i]),
> anscombe[,i+1])))
[,1] [,2] [,3]
Well, in this case I don't think my original code would have helped much...
So, I've rewritten as below. I want to perform regression between one column
in a matrix and all other columns in the same matrix. I have a for loop to
achieve this, which succeeds in exporting intercept and slope coeffic
Read the last line of every message to r-help.
On Tue, Jul 29, 2008 at 6:15 PM, rcoder <[EMAIL PROTECTED]> wrote:
>
> Hi everyone,
>
> I am trying to apply linear regression to adjacent columns in a matrix (i.e.
> col1~col2; col3~col4; etc.). The columns in my matrix come with identifiers
> at the
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