Economists frequently use public datasets. One frequently used dataset is the Panel Study of Income Dynamics, short PSID, maintained by the Institute of Social Research at the University of Michigan.I'm introducing psidR, which is a small helper packag...
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Using R — Working with Geospatial Data
This entry is part 12 of 12 in the series Using RGIS, an acronym that brings joy to some and strikes fear in the heart of those not interested in buying expensive software. Luckily fight or flight can be saved for another day because you … read more ...
Tip: Julia vs. R – introduction videos and more
Last years UseR 2012 conference in Nashville had an interesting discussion session titled “What other languages should R users know about?“. General consensus was that multilingualism is inevitable in modern computing, and panel members presented various languages that complement R in different ways. Some of the usual suspects included SQL, python, and of course C++, ...
Continuing Sync
I am continuing in Sync: How Order Emerges from Chaos in the Universe, Nature, and Daily Lifeby Steven Strogatz. To get a feeling on it, I was building a group of things which have only a minute influence on each other are able to synchronize thei...
Stan 1.3.0 and RStan 1.3.0 Ready for Action
The Stan Development Team is happy to announce that Stan 1.3.0 and RStan 1.3.0 are available for download. Follow the links on: Stan home page: http://mc-stan.org/ Please let us know if you have problems updating. Here’s the full set of release notes. v1.3.0 (12 April 2013) ====================================================================== Enhancements ---------------------------------- Modeling Language * forward sampling (random
Extending RevoScaleR for Mining Big Data – Discretization
by Derek McCrae Norton, Senior Sales Engineer In this second installment of Extending RevoScaleR for Mining Big Data we look at how to use the building blocks provided by RevoScaleR to transform continuous variables into discrete. Motivation: Discretize continuous variables on big data. Discretization is a technique to convert continuous variables into discrete variables, and it is sometimes useful...
Travis CI for R! (not yet)
A few days ago I wrote about Travis CI, and was wondering if we could integrate the testing of R packages into this wonderful platform. A reader (Vincent Arel-Bundock) pointed out in the comments that Travis was running Ubuntu that allows you to install software packages at your will.
I took a look at the documentation, and realized...
Dropbox & R Data
I'm always looking for ways to download data from the internet into R. Though I prefer to host and access plain-text data sets (CSV is my personal favourite) from GitHub (see my short paper on the topic) sometimes it's convenient to get data stored on Dropbox.
There has been a change in the way Dropbox...
Stepwise Regression for Big Data with RevoScaleR
by Joseph Rickert In a recent blog post, Revolution's Thomas Dinsmore announced stepwise regression for big data as a new feature of Revolution R Enterprise 6.2 that is scheduled for general availability later this month. Today, I would like to provide a simple example of doing stepwise regression with rxLinMod() (the RevoScaleR analog of lm()), using a 100,000 row...
A quick introduction to ggplot2
My friend Jonah asked me to guest lecture in his R seminar aimed at grad students and postdocs in Integrative Biology. I gave Jonah a bunch of topics ranging from reproducible research with R to data manipulation. The consensus was data visualization so I put together a 2 hour talk/hands on presentation for ggplot2 beginners.
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
