[This article was first published on Quantum Forest » rblogs, 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.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Reached mid-semester point, with quite a few new lectures to prepare. Nothing extremely complicated but, as always, the tricky part is finding a way to make it meaningful and memorable. Sometimes, and this is one of those times, I sound like a broken record but I’m a bit obsessive about helping people to ‘get’ a topic.
- I gave knitr a go while preparing model answers for an assignment. I liked the integration with RStudio and the possibility of using several markup languages. For simple documents Markdown + R is an excellent combination to generate HTML output. However, I wanted to generate PDF output with some math, so I went for latex integration. Jeromy Anglim’s site provides a very good starting point for using knitr to document reproducible analyses.
- Simply statistics on Statistics/Statisticians need better marketing.
- France in the year 2000: a series of futuristic pictures by Jean-Marc Côté and other artists issued in France in 1899, 1900, 1901 and 1910.
- Forty five self-portraits under different psychoactive drugs.
- David Smith: “SAS still fighting the open-source wars from last decade” when recurring to FUD.
- Nothing like language Schadenfreude: MATLAB can’t read plain text data out of a wet paper bag via Mike Croucher.
- Nature Genetics published ‘A mixed-model approach for genome-wide association studies of correlated traits in structured populations’, where variance components were estimated using ASReml. Via Christophe Lalanne.
To leave a comment for the author, please follow the link and comment on their blog: Quantum Forest » rblogs.
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.