Skip to Content

Blogs

by Nick Elprin
Co-Founder Domino Data Lab

"R Notebooks" use the IPython Notebook UI to run R (rather than Python) in notebook cells, giving you an interactive R environment hosted on scalable servers, accessible through a web browser. This post describes how and why we built our "R Notebooks" feature.

The team at RStudio have just released an update to the immensely useful dplyr package, making it even more powerful for manipulating data frame data in R. The new 0.4.0 version adds new "verbs" to the syntax for mutating joins (left join, right join, etc.), filtering joins, and set operations (intersection and union).

This orchestral-dance-opera 'honouring' Shia Lebouf has to be seen to be believed:

 

Bioconductor is a project to develop and curate a collection of R packages used for analysis of genetic data (specifically, analysis and comprehension of high-throughput genomic data). With the wealth of genetic data on humans and animals now available, Bioconductor is widely used in medical research to understand how genes influence our health, and to develop new therapies and drugs.

In case you missed them, here are some articles from November of particular interest to R users.

R was featured in recent articles in Nature News and Mashable.

A recap of the 6th Spanish R Users Conference.

For Twitter, finding anomalies — sudden spikes or dips — in a time series is important to keep the microblogging service running smoothly. A sudden spike in shared photos may signify an "trending" event, whereas a sudden dip in posts might represent a failure in one of the back-end services that needs to be addressed.

by Ryan Garner
Senior Data Scientist, Revolution Analytics

I love creating spatial data visualizations in R. With the ggmap package, I can easily download satellite imagery which serves as a base layer for the data I want to represent. In the code below, I show you how to visualize sampled soil attributes among 16 different rice fields in Uruguay.

by Joseph Rickert

In a recent post, where I presented some R related highlights of November's H20 World conference, I singled out and  described talks by Trevor Hastie and John Chambers and remarked that it would be nice if the videos would be made available. Well, thanks to the generosity of the folks at H2O I got my wish.

Here is the video of Professor Hastie's talk.