Official Blog
r programming
+1

R in the Cloud: R-fiddle of the Week

R-fiddle lets you run and write R in the cloud, all in the comfort of your own browser. Play around with R code in the your own browser.

Now that our 'Learning R' -series is coming to an end (for those who have missed it, have a look at our Twitter or Facebook ), it is time to announce the start of a new series : R-fiddle of the Week. Every week, we will share an R-fiddle link that contains the code of some popular or well liked R blog posts. Since R-fiddle allows you to run and write R in the cloud in the comfort of your own browser, it is then easy to start playing around with the code yourself and make your own versions and adaptions of it. You can even share your code experiments with your friends, colleagues, students...

For the first week we wanted to start with something very tailored and visual, so we made an R-fiddle that uses Google's API and your personal input. Based on the address you provide, it will return the corresponding coordinates and shows you the location on a Google Map via a plot. It is easy to think of variations (e.g. multiple addresses), so we are curious to see what you will come up with.

With this new set of posts, we aim to show new R users the power of R in the cloud, and introduce experienced users to some nifty R features that they might not be aware of. You can follow the 'R-fiddle of the Week' series via Twitter or Facebook.

If you have any suggestions or ideas on a R-fiddle we should make, just send them to info@datacamp.com  

R-fiddle provides you with a free and powerful environment to write, run and share R-code right inside your browser. This is all done by running R in the cloud. We designed it for those situations where you have code that you need to prototype quickly and then possibly share it with others for feedback. You can do all this without needing a user account, or any scrap projects or files! We even included a very-easy-to-use ‘embed’ function for blogs and website, so your visitors can edit and run R code on your own website or blog.