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 theres a golden function already
created in an [R] package that I'm overlooking.
Thanks in advance,
Tyler
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