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by Joseph Rickert

Revolution Analytics's 2015 R User Group Support Program (RevoRUGS) begins today. Last year we provided financial support to 51 groups worldwide. That works out to be about one third of the total number of R active user groups listed in our Local User Group Directory.

R User Groups Supported by Revolution Analytics in 2014

The R Foundation, the Austria-based non-profit founded in 2003 to oversee the R Project, recently held leadership elections and added some new members. The new R Foundation Board is: 

by Matt Sundquist
co-founder of Plotly

R, Plotly, and ggplot2 let you make, share, and collaborate on beautiful, interactive plots online. Let's see what we can do with the topographic data from Auckland's Maunga Whau Volcano that comes with R.

Copy and paste this R code to make your first plot. The basic idea is: use ggplot2 code, add py$ggplotly() to call the Plotly API, and make an interactive, web-based plot for sharing and collaboration.

Visualizing complex survey data is something of an art. If the data has been collected and aggregated to geographic units (say, counties or states), a choropleth is one option. But if the data aren't so neatly arranged, making visual sense often requires some form of smoothing to represent it on a map. 

We've just made the latest update to Revolution R Open, the enhanced distribution of open-source R, available for download from MRAN. The main feature of this release is an upgrade to the R 3.1.2 engine, and support for MacOS Yosemite.

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

Reviews of some of the R-related presentations (by John Chambers, Trevor Hastie and others) at the H20 World conference. 

An R/Shiny app for making egg-nog.

by Andrie de Vries

In a previous post I demonstrated how to use the igraph package to create a network diagram of CRAN packages and compute the page rank.

Now I extend this analysis and try to find clusters of packages that are close to one another.