[R] Fwd: Interpreting the example given by Frank Harrell in the predict.lrm {Design} help

[John Haart]

Frank and list,


The reason I am trying to assign them is because I have a data set where i have arrived at  the most likely model that describes the data and now I have another dataset where I know the factors but not the response.

Therefore, surely I need to assign the predicted values to a response in order to say something like: 

Based on the model I believe unknown 1 is good, where as unknown 2 is very good etc?

Maybe I am missing something or using the wrong approach but I thought the main purpose of using the predict function on new data was to "predict" the response?

John

On 1 Oct 2010, at 14:51, Frank Harrell <f.harrell at vanderbilt.edu> wrote:

> 
> Why assign them at all?  Is this a "forced choice at gunpoint" problem? 
> Remember what probabilities mean.
> 
> Frank
> 
> -----
> Frank Harrell
> Department of Biostatistics, Vanderbilt University
> -- 
> View this message in context: http://r.789695.n4.nabble.com/Interpreting-the-example-given-by-Frank-Harrell-in-the-predict-lrm-Design-help-tp2883311p2909713.html
> Sent from the R help mailing list archive at Nabble.com.
> 
> ______________________________________________
> 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.