Hi,
Some try:
> names(mi$xlevels)
[1] "f"
> all.vars(mi$formula)
[1] "D" "x" "f" "Y"
> names(mx$xlevels)
[1] "f"
> all.vars(mx$formula)
[1] "D" "x" "f"
When offset is indicated out of the formula, it does not work...
Marc
Le 07/03/2018 à 06:20, Bendix Carstensen a écrit :
I would like to extract the names, modes [numeric/factor] and levels
of variables needed in a data frame supplied as newdata= argument to
predict.glm()
Here is a small example illustrating my troubles; what I want from
(both of) the glm objects is the vector c("x","f","Y") and an
indication that f is a factor:
library( splines )
dd <- data.frame( D = sample(0:1,200,rep=T),
x = abs(rnorm(200)),
f = factor(sample(letters[1:4],200,rep=T)),
Y = runif(200,0.5,10) )
mx <- glm( D ~ ns(x,knots=1:2,Bo=c(0,5)) + f:I(x^2) , offset=log(Y) ,
family=poisson, data=dd)
mi <- glm( D ~ ns(x,knots=1:2,Bo=c(0,5)) + f:I(x^2) + offset(log(Y)),
family=poisson, data=dd)
attr(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
[email protected]
[email protected]
http://BendixCarstensen.com
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