I use R very frequently and take for granted much that it has to offer. I forget how R is different from similar tools, so I have trouble communicating the benefits of using R. The goal of this post is to highlight R's main strengths, but first... my story.
How I got started with R
I was introduced...
877 search results for "Excel"
Why Use R?
Visualizing Agricultural Subsidies by Kentucky County
In this post, I provide results from my first full blown application of R to read, merge, clean, subset, manipulate, analyze and visualize data related to agricultural subsidies by Kentucky counties. This is very similar to the work I do on a daily basis, and was a great test of the capabilities of doing these tasks open source...
Google, The Brew’s On Me
While drinking these fine liquids may up your trip count to the john, they can also make your R reports better. Not because they allow you to reach your Ballmer Peak… but because each of these elixers is the direct result of brewing. Okay, I’m rea...
Life Is Short, Use Python
Life is short, use Python
I started to play with Python two weeks ago due to the limitation of R in terms of handling large data, then a friend of mine suggested me to try Python since I had to do data massage frequently, "Python is the best choice, trust me", he...
Learn Logistic Regression (and beyond)
One of the current best tools in the machine learning toolbox is the 1930s statistical technique called logistic regression. We explain how to add professional quality logistic regression to your analytic repertoire and describe a bit beyond that. A statistical analyst working on data tends to deliberately start simple move cautiously to more complicated methods. Related posts:
My First R Package: infochimps
I have finally taken the plunge and created my first R package! As frequent readers will know, I often sing the praises of infochimps, a startup out of Austin, TX attempting to be the world’s data clearinghouse. While infochimps is an excellent resource for data sets, they also provide their own set excellent data
Is there a Market for Premium R Packages?
Nathan Yau, of the excellent FlowingData blog, recently asked on his Twitter stream: I wonder if there’s a market for premium R packages, like there is for say, @wordpress themes and plugins There are some great packages available for R, all of which are currently free. I think it would be great if authors like 
Postdoc in Wharton
Just received this email from José Bernardo about an exciting postdoc position in Wharton: POST-DOCTORAL FELLOW – DEPARTMENT OF STATISTICS, THE WHARTON SCHOOL The Department of Statistics at The Wharton School of the University of Pennsylvania is seeking candidates for a Post-Doctoral Fellowship. This research fellowship provides full funding without any teaching requirements at a 
Feature selection: All-relevant selection with the Boruta package
Feature selection is an important step for practical commercial data mining which is often characterised by data sets with far too many variables for model building. There are two main approaches to selecting the features (variables) we will use for the analysis:...
Feature selection: All-relevant selection with the Boruta package
Feature selection is an important step for practical commercial data mining which is often characterised by data sets with far too many variables for model building. There are two main approaches to selecting the features (variables) we will use for the analysis:...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
