Hi, I am trying to use R to mimic what I did in SAS. proc transreg data=x ; model identity(GSI)=monotone(group1); output out=d2 pprefix=M; run;
Accroding to SAS documentation, the MONOTONE transfomation algorithm comes from (Kruskal 1964, secondary approach to ties). I have tried ace. it does provide some kind of monotone transformation, but it is not what I expected. Here is how sas output look like: Obs GSI TGSI group1 Tgroup1 1 0.81301 0.81301 1 1.55594 2 0.79359 0.79359 2 1.55594 3 1.26900 1.26900 3 2.59702 4 2.02680 2.02680 4 4.29111 group1 is the inital value. Tgroup1 is the monotone transformed value. Here is how Transformed value output from ace: $tx [,1] [1,] -0.5698602 [2,] -0.1899534 [3,] 0.1899534 [4,] 0.5698602 Does anybody have any idea whether I could do the similar thing in R? If I can do it, which function I should use? Thanks, Jingyu -- View this message in context: http://www.nabble.com/Monotone-Transformation-tp23103202p23103202.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.