The R Backpages

November 7, 2013
By

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

by Joseph Rickert

As an avid newspaper reader (I still get the print edition of the New York Times delivered every Sunday morning) I have always thought that some of the most interesting news is to be found in the back pages. So, in that spirit here are some things that I thought might be fit to print.

Plotly has new R interface in Beta Test

Plotly, a startup building a data analysis and visualation collaboration site, is beta testing their new R library and API and the team there is looking for feedback. Writing to Revolution Analytics' community site, Matt Sundquist, one of Plotly's cofounders, is asking for feedback, suggestions for the library, and tweets (@plotlygraphs) to help get the word out.

To get started with plot.ly, first sign up for an account and an autentication key. Install the the plotly library from GitHub (The site provides clear instructions and several examples). Then write some code in your local R environment and let the plotly API takes care of interacting with the website. The following code produces the boxplots below which can be viewed by going to the web page returned in the variable url.

#Box plot Example
library(plotly)
username="RevoJoe"
api_key = "RevoJoe's key"
p <- plotly(username=username, key=api_key)
box1 = list(y=c(0,1,2,4),type='box')
box2 = list(y=c(1,2,4,8),type='box') 
response = p$plotly(list(box1,box2))
url = response$url
filename = response$filename

Created by Pretty R at inside-R.org

Plotly

The web page is interactive enabling users to get information about the data by mousing over portions of portions of the plot, to add titles and further refine the plots, and then share them via browser interface. This graph shows government shutdown percentages, by agency. Hardest hit were: NASA, the Department of Housing and Urban Development, the DOE, and the EPA.

New Book on R Visualizations

In their upcoming meeting the Köln R User Group will be looking into the new book "Datendesign mit R" by Thomas Rahlm. The website for the book shows some very impressive examples of visualizing data with R which are backed by very readable code.

Live Meetup Streaming from Munich

The Munich useR Group has begun streaming their meetings live. Markus Schmidberger reports that "the live stream has a delay for about 3-5 seconds and the quality is perfect". Because the Munich group regularly hosts high quality talks this innovaion should be of interest to the worldwide R community. You can view past talks on the group's YouTube channel.

Quandl Adds More Data

Quandl, the R Friendly source for data, continues to add to trove of over 7,000,000 data sets. Recent arrivals include:

Webinars

Scheduled Talk

I am looking forward to giving a Tech Talk on doing statistics with large data sets at the Predictive Analytics Center of Excellence, PACE, on November 13th in San Diego.

If you have some news that you think should be in a future edition of the R Backpages please let me know.

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

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