R help - May 2009 - calibration plot

Hi, 
I have a binary variable and corresponding predicted probability (using 
logistic regression on some explanatoey variables); 
I want to check that the model is well-calibrated using a calibration plot.
how can I have the calibration plot for my data?
thanks.



      
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Dear Abbas,
Take a look at the results of

require(Hmisc)
require(Design)
apropos("calibrate")
?calibrate
?plot.calibrate

HTH,

Jorge


On Tue, May 5, 2009 at 9:41 AM, abbas tavassoli
<tavassoli_85@yahoo.com>wrote:
> Hi,
> I have a binary variable and corresponding predicted probability (using
> logistic regression on some explanatoey variables);
> I want to check that the model is well-calibrated using a calibration plot.
> how can I have the calibration plot for my data?
> thanks.
>
>
>
>
>        [[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.
>
	[[alternative HTML version deleted]]

I believe something like:

scatter.smooth(est.prob, as.numeric(y == "level of interest"))

would be close.  You may want to use a larger span than default.

Andy 

From: abbas tavassoli
> 
> Hi, 
> I have a binary variable and corresponding predicted 
> probability (using 
> logistic regression on some explanatoey variables); 
> I want to check that the model is well-calibrated using a 
> calibration plot.
> how can I have the calibration plot for my data?
> thanks.
> 
> 
> 
>       
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at 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.
> 
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