More interesting:
lm() works fine to get AIC. I wonder if there is a bug in glm.fit().
> AIC(lm(myY~0+myX, data=data.frame(myY,myX)))
[1] 38.94657> AIC(lm(myY~1+myX, data=data.frame(myY,myX)))
[1] -650.9808
-Luke
On 6/15/05, Luke <jyzz88 at gmail.com> wrote:> Dear R users,
>
> glm.fit() gave me the same AIC's regardless of TRUE or FALSE intercept
option.
>
> > myX <- as.matrix(1:10)
> > myY <- 3+5*myX
> > foo <- glm.fit(x=myX, y=myY, family = gaussian(link =
"identity"), intercept=TRUE)
> > foo$aic
> [1] 38.94657
> > foo <- glm.fit(x=myX, y=myY, family = gaussian(link =
"identity"), intercept=FALSE)
> > foo$aic
> [1] 38.94657
>
> Is my code wrong or is it a bug in glm.fit?
>
> -Luke
>