The problem with R? Too much new stuff!

[This article was first published on Revolutions, 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.

In a tongue-in-cheek post at the Information Management blog, Steve Miller shares his "frustration" with R: package developers keep on releasing new functionality for R that makes his own work obsolete. For example, there's now pre-packaged functionality in R for enhanced dotplots, Economist-style graphics, additive regression models and more, which all obviate the need for Steve to implement such things himself. Steve reveals his agenda in the last paragraph: 

Of course, my tongue-in-cheek observations are in fact a celebration of R rather than a critique. I'm continually amazed at the ever-expanding bounty of contributions from some of the top quantitative analysts in the world. With this wealth of goodies, though, comes an admonition from the old buy versus build conundrum: do your research on what's already available before you invest a lot of time developing from scratch. Often as not, what you're looking to do is already out there – for free. I need to practice that lesson even as I preach it.

Check out Steve's full post at the link below.

Information Management (Steve Miller): Frustrations With R?

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

R-bloggers.com 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)