x" "k"
> all.vars(ml$formula)
character(0)
> all.vars(ml$terms)[ all.vars(ml$terms) %in% names(dat)]
[1] "y" "x"
--
David.
>
> ________________________
> Fra: Marc Girondot
> Sendt: 8. marts 2018 06:26
> Til: Bendix Carstensen; r-help@r-project.org
> Emne: Re: [R] N
orm(100)
x <- rnorm(100)
k <- -1:1
ml <- lm( y ~ bs(x,knots=k) )
mg <- glm( y ~ bs(x,knots=k) )
all.vars(ml$terms)
all.vars(mg$terms)
all.vars(mg$formula)
Fra: Marc Girondot
Sendt: 8. marts 2018 06:26
Til: Bendix Carstensen; r-help@r-project.o
Hi Bendix,
If the 'model' argument to glm() is TRUE (the default), you can get the
structure of the model frame that was used to fit the model, by using:
> str(mx$data)
'data.frame': 200 obs. of 4 variables:
$ D: int 0 1 0 1 1 0 1 1 1 1 ...
$ x: num 0.705 2.15 0.572 1.249 0.807 ...
$ f:
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 extr
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