scheduleR receives big update

March 2, 2015
By

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

For the newcomers; scheduleR is a framework to deploy/schedule R tasks, reports and Shiny apps. The tool has an integrated logging and notification system to ease the maintenance of scheduled R related jobs.

After a lot of refactoring the tasks have been separated into tasks (e.g. ETL scripts) and reports (rmarkdown). The back-end that handles the execution of R scripts has gotten a polish, as did the UI.

There is now also experimental support for Shiny apps. See below for a (very) short demonstration.

The documentation has been updated to reflect the changes: README.

I’ve noticed that some people are having difficulty in properly setting up a scheduleR server. If I find some spare time I’ll try to construct a .deb package and possibly a Windows installer to easy installation.

Please use GitHub to notify me on bugs / problems. For other feedback you can send me an e-mail (see site header).

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

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


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)