Logistic regression with 2 factors and 3 covariates
On 13.06.2011 19:37, Alal wrote:
Hello I'm trying to write a model for my data, but Im not sure it's statistically correct. I have one variable (2 levels: A or B). To explain it, I've got 2 factors and 3 continuous variables. I need to do a logistic regression, but... First: can I actually do a logistic regression with all of this? I know it's a basic question (sorry) but I just cant find a clear answer.
Yes, you can do that, but we cannot know if it is the most appropriate method given your problem and your data.
Then: if yes, what function do I use? I tried with a binomial glm,
Yes.
but I also found the function 'mlogit()' that seems appropriate. Is it incorrect to use glm() in that case?
If you want a "simple" logistic regression, just use the glm() approach.
Finally: any advice, things I should pay attention to?
The problem, the data and the method. Since your question is rather basic, it'd suggest to ask for local advice in any case, Uwe Ligges
Thanks B. -- View this message in context: http://r.789695.n4.nabble.com/Logistic-regression-with-2-factors-and-3-covariates-tp3594377p3594377.html Sent from the R help mailing list archive at Nabble.com.
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