R featured in New York Times article

January 7, 2009

(This article was first published on Thinking inside the box , and kindly contributed to R-bloggers)

Today’s New York Times carries a
decent article
about R. Predictably, this lead to
one (short),
two (longest),
three (short)
threads on the main R mailing list.
One aspect merits further highlighting. The reporter asked whether
R would pose a threat to SAS:

“I think it addresses a niche market for high-end data analysts that want free, readily available code,”
said Anne H. Milley, director of technology product marketing at SAS. She adds, “We have customers who build
engines for aircraft. I am happy they are not using freeware when I get on a jet.”

That’s silly on so many levels. A concise and rather appropriate follow-up came in early from
Frank Harrell,
a long-time S and R advocate:

This is great to see. It’s interesting that SAS Institute feels that
non-peer-reviewed software with hidden implementations of analytic
methods that cannot be reproduced by others should be trusted when
building aircraft engines.

Achim already added this (and two more posts
from the aforementioned threads) to the
fortunes package that collects such choice quotes.

R in Finance (the topic of
our upcoming conference)
gets mentioned as well. Now, as editor of the
Finance task view, I find that second half of

The financial services community has demonstrated a particular affinity for R;
dozens of packages exist for derivatives analysis alone.

to be a little off the mark. But that’s minor as the article is broadly sympathetic, and mostly “gets
it” where it matters. Recommended.

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

R-bloggers.com 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

Dommino data lab

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)