Breakthroughs in the sas7bdat Reverse Engineering Effort

November 3, 2012

(This article was first published on BioStatMatt » R, and kindly contributed to R-bloggers)

Due largely to the work of Clint Cummins, the sas7bdat file format has become a bit less shrouded. In particular, we now know the following:

  • how to detect files with compressed data (and fail graciously)
  • more details about the platform that generated the file (e.g., endianess, OS details)
  • how to read files that were generated on a 32-bit ‘Linux’ platform

These are significant improvements. The details are documented in the ‘sas7bdat’ vignette, and online at the sas7bdat Github repository. The revised R package will be available on CRAN shortly, but is still EXPERIMENTAL.

To leave a comment for the author, please follow the link and comment on their blog: BioStatMatt » R. 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.


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)