Re: [R] Names of variables needed in newdata for predict.glm

> On Mar 31, 2018, at 8:48 AM, Bendix Carstensen > wrote: > > all.vars works fine, EXCEPT, it give a bit too much. > I only want the regression variables, but in the following example I also get > "k" the variable holding the chosen knots. Any machinery to find

Re: [R] Names of variables needed in newdata for predict.glm

all.vars works fine, EXCEPT, it give a bit too much. I only want the regression variables, but in the following example I also get "k" the variable holding the chosen knots. Any machinery to find only "real" regression variables? cheers, Bendix library( splines ) y <- rnorm(100) x <- rnorm(100)

Re: [R] Names of variables needed in newdata for predict.glm

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:

Re: [R] Names of variables needed in newdata for predict.glm

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