Regression Analysis — What You Should’ve Been Taught But Weren’t, and Were Taught But Shouldn’t Have Been

September 20, 2017

(This article was first published on Mad (Data) Scientist, and kindly contributed to R-bloggers)

The above title was the title of my talk this evening at our Bay Area R Users Group. I had been asked to talk about my new book, and I presented four of the myths that are dispelled in the book.

Hadley also gave an interesting talk, “An introduction to tidy evaluation,” involving some library functions that are aimed at writing clearer, more readable R. The talk came complete with audience participation, very engaging and informative.

The venue was GRAIL, a highly-impressive startup. We will be hearing a lot more about this company, I am sure.

To leave a comment for the author, please follow the link and comment on their blog: Mad (Data) Scientist. 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.

Search R-bloggers


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)