Ok, so let's say I have a logit equation outlined as Y= 2.5 + 3X1 + 2.3X2 +
4X3 + 3.6X4 + 2.2X5

So a one unit increase in X2 is associated with a 2.3 increase in Y,
regardless of what the other
predictor values are. So I guess instead of trying to plot of curve with
all the predictors accounted
for, I should plot each curve by itself.

I'm still not sure how to do that with so many predictors.

Any help would be appreciated.




On Thu, Jul 5, 2012 at 4:23 PM, Bert Gunter <gunter.ber...@gene.com> wrote:

> You have an about 11-D response surface, not a curve!
>
> -- Bert
>
> On Thu, Jul 5, 2012 at 2:39 PM, Abraham Mathew <abmathe...@gmail.com>wrote:
>
>> I have a logit model with about 10 predictors and I am trying to plot the
>> probability curve for the model.
>>
>> Y=1 = 1 / 1+e^-z  where  z=B0 + B1X1 + ... + BnXi
>>
>> If the model had only one predictor, I know to do something like below.
>>
>> mod1 = glm(factor(won) ~ as.numeric(bid), data=mydat,
>> family=binomial(link="logit"))
>>
>> all.x <- expand.grid(won=unique(won), bid=unique(bid))
>> y.hat.new <- predict(mod1, newdata=all.x, type="response")
>>
>> plot(bid<-000:250,predict(mod1,newdata=data.frame(bid<-c(000:250)),type="response"),
>> lwd=5, col="blue", type="l")
>>
>>
>> I'm not sure how to proceed when I have 10 or so predictors in the logit
>> model. Do I simply expand the
>> expand.grid() function to include all the variables?
>>
>> So my question is how do I form a plot of a logit probability curve when I
>> have 10 predictors?
>>
>> would be nice to do this in ggplot2.
>>
>> Thanks!
>>
>>
>> --
>> *Abraham Mathew
>> Statistical Analyst
>> www.amathew.com
>> 720-648-0108
>> @abmathewks*
>>
>>         [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> 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.
>>
>
>
>
> --
>
> Bert Gunter
> Genentech Nonclinical Biostatistics
>
> Internal Contact Info:
> Phone: 467-7374
> Website:
>
> http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
>
>
>


-- 
*Abraham Mathew
Statistical Analyst
www.amathew.com
720-648-0108
@abmathewks*

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