[This article was first published on Revolutions, 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.
Thanks to everyone at the Chicago R User Group for giving me such a warm welcome for my presentation last night. In my talk, I gave an introduction to Revolution R Open, with a focus on how the checkpoint package makes sharing R code in a reproducible way easy:
If you'd like to try out the checkpoint package, it's available on CRAN now. You can also install a newer, more efficient version from GitHub as follows:
library(devtools)
install_github("RevolutionAnalytics/checkpoint")
You can't see my demo in the slides, but I ran this script in RStudio and demonstrated what happens when you adjust the checkpoint date. You can learn more about checkpoint and the Reproducible R Toolkit here.
To leave a comment for the author, please follow the link and comment on their blog: Revolutions.
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.