I am using 'proc quantreg' to explore a dataset, looking for potential ceilings /floors in x-y space. I have the procedure running, but I need some output that tells me whether a specific quantile if significant or not... like a p-value. The last time I did quantile regression was in R, but with a much smaller dataset and before I got into SAS. Can someone tell me how to get that kind of output from SAS? here is the code that I am submitting (the temp_out output set only contains the input data). proc quantreg data= phase3.centralappalachian_sort; model Spec_Insec = SEP_MED / quantile = 0.05 to 0.95 by 0.05 plots=quantplot); output out=temp_out; run; Thanks, Rodney code added at 4:10 CDT Message was edited by: GSRodney ... View more

I am wanting to use either PROC CLUSTER or FASTCLUS to determine if my data can be grouped and if so what is the best grouping. A colleague ran this for me on a different stat package using k-means dynamic for 10, 8,6,4,3,2 groups and so on. He took the output and plotted #groups vs the RMSE for each. where the line inflected represented the optimal grouping. When I run FASTCLUS or CLUSTER, I don't see RMSE to do a similar check. How or what do I use in the SAS output for these PROCs to determine when the cluster numbers is the best that it can be? Is there a metric to gage this with? Thanks. ... View more