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2018 Mar 07
3
Names of variables needed in newdata for predict.glm
...mx$terms,"dataClasses")
attr(mi$terms,"dataClasses")
mi$xlevels
mx$xlevels
...so far not quite there.
Regards,
Bendix Carstensen
Senior Statistician
Steno Diabetes Center
Clinical Epidemiology
Niels Steensens Vej 2-4
DK-2820 Gentofte, Denmark
b at bxc.dk
bendix.carstensen at regionh.dk
http://BendixCarstensen.com
________________________________
Denne e-mail indeholder fortrolig information. Hvis du ikke er den rette modtager af denne e-mail eller hvis du modtager den ved en fejltagelse, beder vi dig venligst informere afsender om fejlen ved at bruge svarfunktionen. Samtidi...
2018 Mar 31
1
Names of variables needed in newdata for predict.glm
...; mi$xlevels
> mx$xlevels
>
> ...so far not quite there.
>
> Regards,
>
> Bendix Carstensen
>
> Senior Statistician
> Steno Diabetes Center
> Clinical Epidemiology
> Niels Steensens Vej 2-4
> DK-2820 Gentofte, Denmark
> b at bxc.dk
> bendix.carstensen at regionh.dk
> http://BendixCarstensen.com
>
> ________________________________
>
>
> Denne e-mail indeholder fortrolig information. Hvis du ikke er den rette modtager af denne e-mail eller hvis du modtager den ved en fejltagelse, beder vi dig venligst informere afsender om fejlen ved at br...
2018 Mar 08
0
Names of variables needed in newdata for predict.glm
...; mi$xlevels
> mx$xlevels
>
> ...so far not quite there.
>
> Regards,
>
> Bendix Carstensen
>
> Senior Statistician
> Steno Diabetes Center
> Clinical Epidemiology
> Niels Steensens Vej 2-4
> DK-2820 Gentofte, Denmark
> b at bxc.dk
> bendix.carstensen at regionh.dk
> http://BendixCarstensen.com
>
> ________________________________
>
>
> Denne e-mail indeholder fortrolig information. Hvis du ikke er den rette modtager af denne e-mail eller hvis du modtager den ved en fejltagelse, beder vi dig venligst informere afsender om fejlen ved at br...
2007 May 30
1
Factor function: odd behavior when labels argument contains duplicates?
Hi all.
I think it would be nice to be able to combine levels of a factor on
creation a la
x <- rep(0:5,5)
y <- factor(x,levels=0:5,labels=c('1','1',2:5)) ## (1)
y
[1] 1 1 2 3 4 5 1 1 2 3 4 5 1 1 2 3 4 5 1 1 2 3 4 5 1 1 2 3 4 5
Levels: 1 1 2 3 4 5
I thougt this would (should?) create a factor with 5 levels, ie
combining 0 and 1 in x into one level in y.
I find it