R help - Feb 2010 - Extract values from a predict() result... how?

Hello,

silly question I suppose, but somehow I can't manage to extract the
probabilities from a glm.predict() result:
> str(res)
 Named num [1:9] 0.00814 0.01877 0.025 0.02941 0.03563 ...
 - attr(*, "names")= chr [1:9] "1" "2"
"3" "4" ...

I got from:

# A Gamma example, from McCullagh & Nelder (1989, pp. 300-2)
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))
model <- glm(lot1 ~ log(u), data=clotting, family=Gamma)
res <- predict(model, clotting)

I want to transfer the probabilities "0.00814 0.01877 0.025 0.02941
0.03563 ..." to a separate vector, how do I do this?

On Feb 15, 2010, at 4:35 PM, Jay wrote:
> Hello,
>
> silly question I suppose, but somehow I can't manage to extract the
> probabilities from a glm.predict() result:
>
>> str(res)
> Named num [1:9] 0.00814 0.01877 0.025 0.02941 0.03563 ...
> - attr(*, "names")= chr [1:9] "1" "2"
"3" "4" ...
>
> I got from:
>
> # A Gamma example, from McCullagh & Nelder (1989, pp. 300-2)
> 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))
> model <- glm(lot1 ~ log(u), data=clotting, family=Gamma)
> res <- predict(model, clotting)
>
> I want to transfer the probabilities "0.00814 0.01877 0.025 0.02941
> 0.03563 ..." to a separate vector, how do I do this?
It is already a separate vector. If you want those values without its  
names, then the unname function is available:

 > ures<-unname(res)
 > ures
[1] 0.008139409 0.018774446 0.024995544 0.029409483 0.035630581  
0.040044520 0.046265617
[8] 0.050679556 0.054103274

-- 
David Winsemius, MD
Heritage Laboratories
West Hartford, CT