What is the SAS equivalent of this R glm() code?

 
 
Hello Everyone,
 
I'm trying to use SAS to replicate some results obtained in R. I was wondering if anyone call tell me the SAS equivalent of the code that appears below. 
 
fm.glm.x <- glm(resp ~ . - 1, data = as.data.frame(mm.x),  
na.action = na.exclude, family = binomial(link = "probit"))
summary(fm.glm.x)

Well, you're not saying what "." contains, so no-one can foresee all implications, but the closest parallels are usually found with PROC GENMOD. Something like

  proc genmod data=ingot2;
  model r/n=t / dist=binomial link=probit;
  run;

(shamelessly lifted from a Google search)

Notes: 

- I don't think you can avoid spelling out the list of variables in "."

- "-1" (no intercept) is obtained by adding "noint" after the "/" in the model statement

- for binary regression, I believe you may have to explicitly generate a variable n=1

- beware differences in contrast parametrizations for categorical variables

Thanks,
 
Paul 


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