Stata Fully Mapped into R

[This article was first published on Econometrics by Simulation, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Hello all of you Stata loving statistical analysts out there!  I have great news.  I am finally nearly done with the package I have been working on which provides the mechanism for Stata users to seamlessly move from Stata to R though use of my new package “RStata”!

In this package I have taken 150 of the most commonly used commands in Stata and directly mapped their syntax into R.  Not only can they be called using identical syntax but they also return identical arguments to the active window.  In order to accomplish this task, the package has built in dependencies on many useful R packages such as plry, ggplot2, glm, etc.  So installation could take a while.

To see this new package in action, here is some sample code:


sysuse auto
regress mpg weight c.weight#c.weight foreign

      Source |       SS       df       MS              Number of obs =      74
————-+——————————           F(  3,    70) =   52.25
       Model |  1689.15372     3   563.05124           Prob > F      =  0.0000
    Residual |   754.30574    70  10.7757963           R-squared     =  0.6913
————-+——————————           Adj R-squared =  0.6781
       Total |  2443.45946    73  33.4720474           Root MSE      =  3.2827

              mpg |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
           weight |  -.0165729   .0039692    -4.18   0.000    -.0244892   -.0086567
c.weight#c.weight |   1.59e-06   6.25e-07     2.55   0.013     3.45e-07    2.84e-06
          foreign |    -2.2035   1.059246    -2.08   0.041      -4.3161   -.0909002
            _cons |   56.53884   6.197383     9.12   0.000     44.17855    68.89913

Please note, I only have a licensed version of Stata up to version 11 so newer commands are omitted from the package.

If you would like to beta test this package or contribute to mapping additional Stata commands, you can find it and installation instructions at:

To leave a comment for the author, please follow the link and comment on their blog: Econometrics by Simulation. offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)