... and further:
" If a continuous independent variable has only 2 values,..."
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Sat, Aug 1, 2020 at 11:11 AM Bert Gunter <bgunter.4...@gmail.com> wrote:
> You appear to be confusing a binomial **response** with categorical
> "dependent variables." glm() of course fits continuous or categorical
> dependent variables. If a continuous dependent variable has only 2 values,
> the results for glm() will be the same whether or not it is considered to
> be continuous or categorical, though you may not recognize it as such.
>
> This discussion has already wandered off topic to statistical issues. I
> will not comment further on or off list. I suggest you consult a good
> reference on linear/generalized linear models or talk with a local
> statistician.
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along and
> sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
>
> On Sat, Aug 1, 2020 at 11:04 AM Paul Bernal <paulberna...@gmail.com>
> wrote:
>
>> Hi Bert,
>>
>> Thank you for the kind reply.
>>
>> But what if I don't turn the variable into a factor. Let's say that in
>> excel I just coded the variable as 1s and 0s and just imported the dataset
>> into R and fitted the logistic regression without turning any categorical
>> variable or dummy variable into a factor?
>>
>> Does R requires every dummy variable to be treated as a factor?
>>
>> Best regards,
>>
>> Paul
>>
>> El sáb., 1 de agosto de 2020 12:59 p. m., Bert Gunter <
>> bgunter.4...@gmail.com> escribió:
>>
>>> x <- factor(0:1)
>>> x <- factor("yes","no")
>>>
>>> will produce identical results up to labeling.
>>>
>>>
>>> Bert Gunter
>>>
>>> "The trouble with having an open mind is that people keep coming along
>>> and sticking things into it."
>>> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>>>
>>>
>>> On Sat, Aug 1, 2020 at 10:40 AM Paul Bernal <paulberna...@gmail.com>
>>> wrote:
>>>
>>>> Dear friends,
>>>>
>>>> Hope you are doing great. I want to fit a logistic regression in R,
>>>> where
>>>> the dependent variable is the covid status (I used 1 for covid
>>>> positives,
>>>> and 0 for covid negatives), but when I ran the glm, R complains that I
>>>> should make the dependent variable a factor.
>>>>
>>>> What would be more advisable, to keep the dependent variable with 1s and
>>>> 0s, or code it as yes/no and then make it a factor?
>>>>
>>>> Any guidance will be greatly appreciated,
>>>>
>>>> Best regards,
>>>>
>>>> Paul
>>>>
>>>> [[alternative HTML version deleted]]
>>>>
>>>> ______________________________________________
>>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>>> PLEASE do read the posting guide
>>>> http://www.R-project.org/posting-guide.html
>>>> and provide commented, minimal, self-contained, reproducible code.
>>>>
>>>
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
