When I was making the slides for a lecture on using Sweave to incorporate R and LaTeX I was unpleasantly surprised at how tedious it can be to extract statistical values and print them in proper LaTeX code. For example, consider a … Continue reading → [Read more...]

I have given a course on using LaTeX for psychological researchers. This course consisted of four lectures in which I discussed the following subjects: how to obtain a LaTeX distribution How to use LaTeX to write professional scientific reports How to use … Continue reading → [Read more...]

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Google scholar has now made Google Scholar Citations profiles available to anyone. You can read about these profiles and set one up for yourself here. I asked John Muschelli and Andrew Jaffe to write me a function that would download my Google Scholar... [Read more...]

If you are looking for a post-doctoral position in statistical computing in 2012 then you may be able to help me with rewriting the coda package for R.  But if you are interested, you don’t have much time to apply.The … Continue reading → [Read more...]

R-Bloggers is a wonderful site which offers some great ideas for analysis.While I have been busy of late, hence could not do much with R, I was inspired by this post by Eric Nguyen on Volume by Price chart. This chart can be used with a great effe... [Read more...]

Responding to the birth rates analysis in the post earlier this week on big-data analysis with Revolution R Enterprise, Luis Apiolaza asks at the Quantum Forests blog, do we really need to deal with big data in R? My basic question is why would I want to deal with all ... [Read more...]

This popular article references a report by financial consulting firms that makes a fairly convincing argument (even though they mostly neglect inferential statistics, and some parts of their argument are misleading, or otherwise not convincing) that 401(k) participants who accept "help" from financial experts take less risk and have better ... [Read more...]

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In my previous post, I shared a function for parallel time-series cross-validation, based on Rob Hyndman's code.  I thought I'd expand on that example a little bit, and share some additional wrapper functions I wrote to test other forecasting&nbsp... [Read more...]

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David Smith at the Revolutions blog posted a nice presentation on “big data” (oh, how I dislike that term). It is a nice piece of work and the Revolution guys manage to process a large amount of records, starting with … Continue reading → [Read more...]

Matt Chandler vs. Mark Driscoll I came across an interesting API from Viral Heat which is capable of “Sentiment Analysis.” This analysis is designed to capture the sentiment of a statement by ranking it on a scale from -1 to 1. For instance, a chipper sentence like “The smell of roses ... [Read more...]

RPostgreSQL goes back to a topic suggestion I had made for the Google Summer of Code 2008, and specifically for the R Project participation that year. And Sameer Kumar Prayaga (whom I then mentored for the project) did a fine job that summer putting t... [Read more...]

Revolution R Enterprise 5.0, which we announced last week, is now available for free download to students and faculty at academic institutions worldwide. If you've downloaded Revolution R Enterprise via the academic program before and are on the mailing list, you will have already received an email with download instructions; if ... [Read more...]

I will assume you have read through part 1 and have the csv file loaded. While we covered some basic graphing in the last post i hope to get into a little more of the data crunching. Specifically I am interested in the names which where driven by a spe... [Read more...]

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Rob Hyndman has a great post on his blog with example on how to cross-validate a time series model.  The basic concept is simple:  You start with a minimum number of observations (k), and fit a model (e.g. an arima model) to those observation... [Read more...]

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After maintaining the  Quick-R website (R tutorials and jumpstart) for the past 5 years, I’ve decided to add a blog so that I can go into more detail on topics related to practical data analysis. The statMethods blog will contain articles … Continue reading → [Read more...]