Stata or R

February 10, 2011

(This article was first published on Enterprise Software Doesn't Have to Suck, and kindly contributed to R-bloggers)

Recently I came across a complex model written in Access with complex SQL queries all over the place. The engineer who was maintaining it and I did some analysis and agreed that the model was using SQL in an unnatural way (things SQL isn’t good at) – complex logic, formatting etc. 
We agreed to use SQL and a more powerful programming language to re-build the model. The engineer is familiar with Stata, so he quickly wrote Stata code. When I looked at the Stata code, it looked fairly easy to reproduce it in R. I’ve posted some R commands for the Stata commands I found in that code. 
What are the advantages of using Stata? Why shouldn’t I use R for this?

To leave a comment for the author, please follow the link and comment on their blog: Enterprise Software Doesn't Have to Suck. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Mango solutions

RStudio homepage

Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



CRC R books series

Six Sigma Online Training

Contact us if you wish to help support R-bloggers, and place your banner here.

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)