Thats great thanks I guess it is hard to not use % as a performance measure when that is what is commonly used in everyday life.
So when i come to predicting the response of new data ( using the estimated mean Y ) which i am more comfortable with i can say - Species A - 2.12 - Therefore this is category 2 Species B - 2.72 - Therefore this is category 3 (on a side note, i had no species with a rating of 6 - the upper category?) The problem comes in explaining this to my peers who are non-statsistcally minded. What you are saying is if i bootstrapp and report the c-values and Bieber scores etc this is sufficient to give an indication of confidence? On 22 Sep 2010, at 12:36, Frank Harrell wrote: % correct is an improper scoring rule and a discontinuous one to boot. So it will not always agree with more proper scoring rules. When you have a more difficult task, e.g., discriminating more categories, indexes such as the generalized c-index that utilize all the categories will recognize the difficulty of the task and give a lower value. No cause for alarm. Frank ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/predict-lrm-Design-package-tp2546894p2550118.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.
