If results can be reproduced across multiple platforms, we have a methodology. If all platforms give different answers, we at best have implementations... and we don't know which one is the right one, if any.
@gung suggested that the expertise required to answer questions like that needs to be statistical. Well... this is where statistics meets computation. A theoretical statistician would not be able to say why a logistic regression converges in
logit throws an error in Stata... hint: the likelihood is the same, but the treatment of infinite slopes and quasi-separation/perfect prediction is different. I believe statisticians would generally benefit from a greater exposure to computing issues, and that would help them understand the tools that they use.
Finally, near monopoly of R is all great for statisticians on this site to talk in common language. But hey, how many of us would be happy if your cell service were a monopoly??? I use R and Stata in my work, and SAS occasionally, and the crucial check for me that I am doing things right is when I can compare the results and see that they match.