I’ve started writing a ‘book’: Functional programming and unit testing for data munging with R

(This article was first published on Econometrics and Free Software, and kindly contributed to R-bloggers)

I have started writing a ‘book’ using the awesome bookdown package. In the book I explain and show why using functional programming
and putting your functions in your own packages is the way to go when you want to clean, prepare and transform large data sets.
It makes testing and documenting your code easier. You don’t need to think about managing paths either. The book is far from complete,
but I plan on working on it steadily. For now, you can read an intro to functional programming, unit testing and creating your own packages
that will hold your code. I also show you can write documentation for your functions. I am also looking for feedback; so if you have any
suggestions, do not hesitate to shoot me an email or a tweet! You can read the book by clicking here.

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

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.

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)