I also disagree that it is a simple question.
Stata vs r software#
Well, I did not like R at all, I did not see anything in R that I cannot do in Stata a lot easier, and I never again touched R after that.Īt the end I think it all comes to be a matter of taste.įor my own view, I find questions of the sort "Is software X better than software Y?" neither interesting nor useful. Farnsworth, and over 4 months slowly went through everything described in this guide to R. Professor Satorra was very excited about R and he was talking about R oftentimes in our conversations, and one year I decided to see for myself the greatness of R. at Universitat Pompeu Fabra, and for a couple of years I was the Teaching Assistant of the great Catalan statistician Albert Satorra.
For my own research, Stata has the advantage over R that everything in Stata is simple and fast to do, and the syntax of Stata is natural to me, while in R everything is hard and slow to do, and the syntax of R is unnatural to me.īut I am saying these things as somebody who has used Stata constantly from year 2000 till now, and as somebody who has 4 months of experience with R. I rarely write programs that other people are supposed to use. R is based on some (extinct now I think) statistical language called S, and has very different syntax. Stata's syntax is very similar to many statistical/regression languages such as TSP, RATS, Eviews, Gretl, etc. Stata is comparable to R, but they are very different. Stata is not comparable to Python, because the latter is a general purpose programming language, and Stata is a specific statistical/regression language. Different people will give you different answers.
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