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Use glm coefficients for other datasets

maxsilva 
Thank you for your kindness, but ive done what you've said and the problem
remains.  What im doing is pretty straightforward,
response pred1 pred2
1       1     0    1
2       0     0    0
3       1     0    0
4       1     1    1
5       1     0    1
6       0     1    1
7       1     1    0
8       1     0    1
9       0     1    1
10      0     0    1
response pred1 pred2
8       1     0    1
2       0     0    0
9       0     1    1
10      0     0    1
6       0     1    1
family=binomial(link="logit"))
###the model ran correctly

But when I ask for the predictions,
Mensajes de aviso perdidos
'newdata' had 5 rows but variable(s) found have 10 rows
[1] 10

And those 10 values are the fitted values corresponding for the model over
its origin dataset.

I really can't get what's the problem...

Thread (9 messages)

maxsilva Use glm coefficients for other datasets Feb 8 Ben Bolker Use glm coefficients for other datasets Feb 8 maxsilva Use glm coefficients for other datasets Feb 8 Ben Bolker Use glm coefficients for other datasets Feb 8 Greg Snow Use glm coefficients for other datasets Feb 8 maxsilva Use glm coefficients for other datasets Feb 8 Dennis Murphy Use glm coefficients for other datasets Feb 9 Peter Dalgaard Use glm coefficients for other datasets Feb 9 maxsilva Use glm coefficients for other datasets Feb 10