Earlier this year data scientist Ryan Rosario gave a talk on parellel computing with R to the Los Angeles R User Group, and he recently made the slides from the talk available online. They're a great resource for anyone looking to make use of multi-processor systems a Hadoop based architechure ... [Read more...]

I’ve been spending a lot of time in the last month or so doing projects at work not statistics related, hence the lack of posts!  In the interim, I had to do some serious research on handling datasets bigger than … Continue reading → [Read more...]

Folks at WSJ were funny. They gave another medal list of London 2012 Olympic Games, not for the first place but for the last place. They replaced Gold, Silver and Bronze with  Lead, Tin and Zinc. No matter who came up to this idea, it’s … Continue reading → [Read more...]

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A while ago I wrote this post with some R code to visualize the updating of a beta distribution as the outcome of Bernoulli trials are observed. The code provided a single plot of this process, with all the curves overlayed on top of one another. Then John Myles White (... [Read more...]

A few days ago, I blogged about visualizing CRAN dependency ranks which turned out to be a somewhat popular post. David Smith followed-up at the REvo blog suggesting to exclude packages already shipping with R (which is indicated by their 'Recommended' priority). Good idea! So here is an updated version, ... [Read more...]

One of the more challenging things about beginning graduate school was learning what tools and software I needed in order to work efficiently. Unlike college where software requirements were laid out in front of me and everyone seemed to use … Continue reading → [Read more...]

If you live in the US, you've probably visited a Williams Sonoma store for gourmet food or quality cookware for the kitchen. And if you've shopped at Pottery Barn or West Elm stores for furniture, those chains are part of the Williams Sonoma stable as well. All three brands have ... [Read more...]

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INLA is not the Norwegian answer to ABBA; that would probably be a-ha. INLA is the answer to ‘Why do I have enough time to cook a three-course meal while running MCMC analyses?”. Integrated Nested Laplace Approximations (INLA) is based … Continue reading → [Read more...]

I recently gave a talk at the Ecological Society of America (ESA) annual meeting in Portland, OR and a poster presentation at the World Congress of Herpetology meeting in Vancouver, BC, Canada. Both presentations were comparing generalized linear mixed models … Continue reading → [Read more...]

OK, let’s do this: some statistics and visualization of the tweets for ISMB 2012. First, thanks to Stephen Turner who got things started in this post at his excellent blog, Getting Genetics Done. Subscribe to his feed if you don’t already do so. I’ve created a Github repository ... [Read more...]

Disclaimer, maybe the title should be ‘lame example’. Nothing overly exciting here. Just posting cause it took a little faffing about and someone else might like the idea. At my work (research institute) we (the social club committee) were organising … Continue reading → [Read more...]

We're excited to announce the latest outpost of the Revolution Analytics team, with the opening of a new office in Singapore! This office will serve as the local HQ for Revolution Analytics serving our customers in the Asia-Pacific region. It was opened with the support of the support of the ... [Read more...]

Why trust some supposed laws of statistical sampling and convergence when you can just test them yourself? If you have a computer with R installed (also recommended: Rstudio) then you can stop dithering about whether these n=1000 studies cited in the n... [Read more...]

What does a generalized linear model do? R supplies a modeling function called glm() that fits generalized linear models (abbreviated as GLMs). A natural question is what does it do and what problem is it solving for you? We work some examples and place generalized linear models in context with ... [Read more...]

The Google Summer of Code (2012) project to extend xts has produced a very promising new plot.xts function.  Michael Weylandt, the project's student, wrote R-SIG-Finance to request impressions, feedback, and bug reports.  The function is hous... [Read more...]

Dealing with endogeneity in a binary dependent variable model requires more consideration than the simpler continuous dependent variable case. For some, the best approach to this problem is to use the same methodology used in the continuous case, i.e. 2 stage least squares. Thus, the equation of interest becomes a ... [Read more...]