Step-Debugging magrittr/dplyr Pipelines in R with wrapr and replyr

March 6, 2017
By

(This article was first published on R – Win-Vector Blog, and kindly contributed to R-bloggers)

In this screencast we demonstrate how to easily and effectively step-debug magrittr/dplyr pipelines in R using wrapr and replyr.



Some of the big issues in trying to debug magrittr/dplyr pipelines include:

  • Pipelines being large expressions that are hard to line-step into.
  • Visibility of intermediate results.
  • Localizing operations (in time and code position) in the presence of lazy evaluation semantics.

In this screencast we demonstrate how to mitigate the impact of all of these issues and quickly and effectively debug pipelined code.

The example code is here.

To leave a comment for the author, please follow the link and comment on their blog: R – Win-Vector Blog.

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.

Sponsors

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)