On Wed, 13 Aug 2008, Birgitle wrote:
Thanks again.
Unfortunately I have always this missing values problem.
But the missings have also a meaning and its impossible to code it
differently or impute.
That's ok. Just to clarify: NAs are not allowed in the response or the
modeling variables. In p
Thanks again.
Unfortunately I have always this missing values problem.
But the missings have also a meaning and its impossible to code it
differently or impute.
Also thanks for the explanation. Now I understand.
B.
Achim Zeileis wrote:
>
> On Wed, 13 Aug 2008, Birgitle wrote:
>
>> Many thank
On Wed, 13 Aug 2008, Birgitle wrote:
Many thanks for your answer and the code that you offered me.
I get this error message after calling mob (look at my given example).
I guess it has something to do with the missings?
Yes, you have to handle NAs in advance if you want to fit that model.
We
Many thanks for your answer and the code that you offered me.
I get this error message after calling mob (look at my given example).
I guess it has something to do with the missings?
The iris example works also fine for me.
Sorry that I am not enough into statistics to really understand the
fol
On Wed, 13 Aug 2008, Birgitle wrote:
I try tu use mob() with my data.frame ('data.frame':288 obs. of 81
variables; factors, numerics and ordered factors)
My response is a binary variable and I should use for modelling a logistic
regression (family=binomial).
I read in the "MOB" Vignette th
Here is an example that produces the same error:
Read in the following as textfile (save as DFExample.txt):
1 2 3 4 7 8 9 10 12
13 14 15 16 17 18 19 21 22 23
25 27 28 29
I try tu use mob() with my data.frame ('data.frame':288 obs. of 81
variables; factors, numerics and ordered factors)
My response is a binary variable and I should use for modelling a logistic
regression (family=binomial).
I read in the "MOB" Vignette that I could use a formula like this if I
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