Ph.D candidate in sociology Ethan Fosse just switched from Stata to doing 100% of his analysis with R. His reasons? If you want to do Bayesian analysis or graph modeled coefficients (or work with complex data structures more generally), then R is much easier than Stata due to the object-oriented ... [Read more...]

A while ago I wanted to run a quantitative genetic analysis where the performance of genotypes in each site was considered as a different trait. If you think about it, with 70 sites and thousands of genotypes one is trying … Continue reading → [Read more...]

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by Yanchang Zhao, RDataMining.com Compared with many other programming languages, such as C/C++ and Java, R is less efficient and consumes much more memory. Fortunately, there are some packages that enables parallel computing in R and also packages for processing … Continue reading → [Read more...]

Part II Explains More Complex  Wide to Long With base reshape  In part I of this base reshape tutorial we went over the basics of reshaping data with reshape.  We learned two rules that help us to be more efficient … Continue reading → [Read more...]

O'Reilly Radar tracks technology adoption via its annual "State of the Computer Book Market" report. In the latest report of 2011 book sales (amongst all publishers), books about R show a 127% increase in 2011 over 2010: As a language specifically for data analysis, R isn't in the same league in raw sales as ... [Read more...]

As I mentioned in a previous post, I compiled the data set that I’m currently working on in PostgreSQL.  To get this massive data set, I had to write a query that was massive by dint of the number of … Continue reading → [Read more...]

The open-source RHadoop project makes it easier to extract data from Hadoop for analysis with R, and to run R within the nodes of the Hadoop cluster -- essentially, to transform Hadoop into a massively-parallel statistical computing cluster based on R. In yesterday's webinar (the replay of which is embedded ... [Read more...]

I spent most of the Sunday afternoon trying to understand why defining did not have the same effect as writing the line until I found there is a clash due to the comment package… The assuredly simple code produces an error message: This is quite an inconvenience as I need ... [Read more...]

The ivreg2 command is one of the most popular routines in Stata. The reason for this popularity is its simplicity. A one-line ivreg2 command generates not only the instrumental variable regression coefficients and their standard errors, but also a number of other statistics of interest. I have come across a ... [Read more...]

This Post Will Explain the Basics of Wide to Long With base reshape (part I) Often your data set is in wide format and some sort of analysis or visualization requires putting the data set into long format.  Hadely Wickham … Continue reading → [Read more...]

Douglas Merrill, former CIO/VP of Engineering at Google, writes in Forbes about using the R language for data analysis: Most folks with math-oriented graduate degrees will have written something in R, a non-commercial option for your big data analysis. So, great graduates from great graduate schools know great tools. ... [Read more...]

The European Court of Justice has published its decision in SAS v WPL; the title of the press release says it all “The functionality of a computer program and the programming language cannot be protected by copyright”. To summarise the background, World Programming Ltd developed a system that was capable ... [Read more...]

Often I find myself needing data sets to try functions and code out on or for teaching purposes.  I have a few stand-bys such as the mtcars and CO2 data sets in the base packages of R but sometimes I … Continue reading → [Read more...]

As I’ve noted here, the Computational Journalism Server “wants to be a Platform-as-a-Service (PaaS) when it grows up.” In plotting the way forward to that goal, I’ve looked at three options: Remain on openSUSE / SUSE Studio and ... [Read more...]

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2nd CALL FOR CHAPTERS: proposals due by 31 May 2012 Data Mining Applications with R A book to be published by Elsevier http://www.RDataMining.com/books/book2 Introduction —————— R is one of the most widely used data mining tools in scientific and business … Continue reading → [Read more...]

A few years ago, I was working on a project where we measured various characteristics of a time series and used the information to determine what forecasting method to apply or how to cluster the time series into meaningful groups. The two main papers to come out of that project ... [Read more...]

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