Thanks for the reply! Using predict() on new data works just fine. What I'm
interested in is, if I can use the coefficients or other data, to develop my
own formula which does the same as predict().
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Hello,
I am working with a dataset with three variables and one binomial parameter.
The glm function provides coefficients for these three variables, e.g.
-1.5 | 27.2 | -2.9
If I'm not mistaken, $fitted.values gives me an estimate of how likely my
parameter is to be true/1 . I would like to apply
Hello,
I'm working with a dataset that has 2 columns and 1000 entries. Column 1 has
either value 0 or 1, column 2 has values between 0 and 10. I would like to
count how often Column 1 has the value 1, while Column 2 has a value greater
5.
This is my attempt, which works but doesn't seem to be very
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