[R] Extract estimate of error variance from glm() object

[Bert Gunter]

... but do note:
glm(lot1 ~ log(u), data = clotting, family = gaussian)

is a plain old *linear model*, which is of course a specific type of
glm, but not one that requires the machinery of glm() to fit.  That
is, the above is exactly the same as:

lm(lot1 ~ log(u), data = clotting)

and gives exactly the same sigma() !

(and I would therefore hazard the guess that the poster may
misunderstand what a glm actually is, though of course I may be wrong
about this).

Cheers,
Bert

On Tue, Dec 24, 2024 at 5:45 AM Christofer Bogaso
<bogaso.christofer using gmail.com> wrote:
>
> Hi,
>
> I have below GLM fit
>
> clotting <- data.frame(
>     u = c(5,10,15,20,30,40,60,80,100),
>     lot1 = c(118,58,42,35,27,25,21,19,18),
>     lot2 = c(69,35,26,21,18,16,13,12,12))
> summary(glm(lot1 ~ log(u), data = clotting, family = gaussian))
>
> Is there any direct function to extract estimate of Error standard deviation?
>
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