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? Peter On 1 Oct 2010, at 14:51, Frank Harrell <f.harr...@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@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. ______________________________________________ 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.