Bernardo Rangel Tura wrote:
> On Mon, 2007-12-10 at 19:42 -0800, Bin Yue wrote:
> (...)
>>My problem is this : in my data set , the IVs are continuous variables,
>> do I still have to generate such a table and compute the log odds for each
>> level of IV according to which the log odds are cal
Dieter Menne:
Thank you for your reply!
I know that I don't have to do any logit , but I want to understand how R
fit the glm models.
I will read the examples your suggested .
Best regards,
Bin Yue
Dieter Menne wrote:
>
> Bin Yue 163.com> writes:
>
>> After reading the following two lin
Bin Yue 163.com> writes:
> After reading the following two links:
> http://luna.cas.usf.edu/~mbrannic/files/regression/Logistic.html
> http://www.tufts.edu/~gdallal/logistic.htm
> I've known the mathematical basis for logistic regression.However I am
> still not so sure about the "logit
On Mon, 2007-12-10 at 19:42 -0800, Bin Yue wrote:
(...)
>My problem is this : in my data set , the IVs are continuous variables,
> do I still have to generate such a table and compute the log odds for each
> level of IV according to which the log odds are calculated?
If IV is a continuous
Dear list:
After reading the following two links:
http://luna.cas.usf.edu/~mbrannic/files/regression/Logistic.html
http://www.tufts.edu/~gdallal/logistic.htm
I've known the mathematical basis for logistic regression.However I am
still not so sure about the "logit "
For a categoric
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