On Mon, 3 Mar 2008, [EMAIL PROTECTED] wrote:
On 03-Mar-08 03:19:01, Wensui Liu wrote:
HI, John,
my understanding is that you should use log(...) instead of its
original scale. Below is the logic in the case of poisson reg.
log(y / offset) = x'b
= log(y) - log(offset) = x'b
= log(y) = x'b +
R 2.6.0
Windows XP
A question about running a generalized linear model.
I am running a glm with
(1) a poisson distribution and a log link:
family=poisson(link = log)
and an offset.
I would like to know if I should express the offset as the log of the offset
value, i.e.
offset=log(NumUniqPt)
Yes, use the log. I've had the same problem in the past, too. Try it on
a toy example to confirm it for yourself.
Cheers,
Simon.
On Sun, 2008-03-02 at 22:01 -0500, John Sorkin wrote:
R 2.6.0
Windows XP
A question about running a generalized linear model.
I am running a glm with
(1) a
On 03-Mar-08 03:19:01, Wensui Liu wrote:
HI, John,
my understanding is that you should use log(...) instead of its
original scale. Below is the logic in the case of poisson reg.
log(y / offset) = x'b
= log(y) - log(offset) = x'b
= log(y) = x'b + log(offset)
Well, this is where it gets
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