Hello R Community,
 
I'm continuing to work through logistic regression (thanks for all the help on 
score test) and have come up against a new opposition.
 
I'm trying to compute Somers Dyx as some suggest this is the preferred method 
to Somers Dxy (Demaris, 1992).  I have searchered the [R] archieves to no avail 
for a function or code to compute Dyx (not Dxy).  The overview of Hmisc has 
mention of Dyx for the rcorr.cens function but this appears to be a misprint 
because the manual states the function finds Dxy.  Peng and So (1998) state 
that the Dyx is easily calculated in SAS (which tells me the same is possible 
for [R]).  
 
Yang, K., Miller, G. J., & Miller, G. state that:
 
(Tau-b)^2=Somers Dxy * Somers Dyx 
 
…so maybe an approach would be to write a function that is:
 
Somers Dyx<-(Tau-b)^2/Somers Dxy  
 
I just don't want to waste time if this is incorrect logic and/or there's an 
easier way to calculate this thing; perhaps there’s a ‘golden’ function already 
created in an [R] package that I'm overlooking.
 
Thanks in advance,
Tyler                                             
        [[alternative HTML version deleted]]

______________________________________________
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.

Reply via email to