Some of us learn easily from the written word, but for most of us some visualization speeds up the process and generally helps with retention as well. With that in mind I was delighted to see this nice list of free videos that demonstrate the use of R, posted on ... [Read more...]

Introduction This is my second post in a series describing the weaknesses of the NHST paradigm. In the first post, I argued that NHST is a dangerous tool for a community of researchers because p-values cannot be interpreted properly without perfect knowledge of the research practices of other scientists — knowledge ... [Read more...]

The Foreign Language of 'Mad Men': ggplot2 in the Atlantic [Read more...]

*** Call for Late-breaking Posters *** Abstracts may be submitted for posters presenting recent developments and late-breaking applications of R, on topics as indicated in [Read more...]

Being freshly elected ASA Fellow (yay!), I just received the list of 2012 ASA Fellows. Among whose, let me mention Sudipto Banerjee, University of Minnesota, Minneapolis, Minnesota, elected “For theoretical, methodological and applied research in spatiotemporal statistical modeling, especially as applied to problems in environmetrics, ecology, occupational health, agriculture and economics, ... [Read more...]

R is a statistical programming language and can be a little scary at first. I learned it during my first statistics class. While others used Stata, I decided to try if I could do the tasks in R. That was probably one of my best research-choices. My main source of ... [Read more...]

Kevin Quealy, graphics editor at the New York Times, has published another fascinating behind-the-scenes look at how the Times creates data visualizations for print and online. In his latest post, he looks at how a visualization of the Yankee's Mariano Rivera performance compared to other Major League Baseball pitchers was ... [Read more...]

Turns out that Megan would have never gotten a callback for an audition. (Via Ben Schmidt.) [Read more...]

I can’t believe I didn’t learn how to do it earlier, but I never knew how to accurately copy tables from excel that had text with spaces in them, and paste into a data frame in R without generating confusion … Continue reading → [Read more...]

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I highly recommend Anthony Damico's excellent two-minute videos on programming in R. You can find the full list of 90+ videos here. This is the first of the series, which tells you how to download and install R:More generally, Anthony's video collectio... [Read more...]

In case you missed them, here are some articles from April of particular interest to R users. Information Age published a feature article on R, describing how new graduates are driving adoption of R in industry. Bob Muenchen has updated his list of R package equivalents to SAS and SPSS ... [Read more...]

Imagine you perform a statistical analysis on a time series of stock market data. After some transformation, averaging, and “renormalization” you find that the resulting quantity, let’s call it , behaves as a function of time like . Since you are a physicist you get excited because you have just discovered ... [Read more...]

As I’ve discussed here before, there is a debate raging (ok, maybe not raging) about terms such as “data science”, “analytics”, “data mining”, and “big data”. What do they mean, how do they overlap, and perhaps most importantly, who are the people who work in these fields? Along with ... [Read more...]

In part 2, we saw that adding a volatility filter to a single instrument test did little to improve performance or risk adjusted returns. How will the volatility filter impact a multiple instrument portfolio? In part 3 of the follow up, I will evaluate the impact of the volatility filter on a ... [Read more...]

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Introduction Over my years as a graduate student, I have built up a long list of complaints about the use of Null Hypothesis Significance Testing (NHST) in the empirical sciences. In the next few weeks, I’m planning to publish a series of blog posts, each of which will articulate ... [Read more...]

Photos of the first Milano R net meeting Milano; May 8, 2012 [Read more...]

In yesterday's webinar, Revolution Analytics CTO David Champagne demonstrated how to integrate statistical graphics and analytic computations created using R software with a variety of third-party applications. In each case Revolution R Enterprise Server is running as a compute server to the client application, with R scripts launched on each ... [Read more...]