Posts Tagged ‘R’

R creators win prestigious Statistical Computing and Graphics Award – Revolutions

February 3rd, 2010

“The American Statistical Association recently created a new, bi-annual award to to recognize an individual or team for innovation in computing, software, or graphics that has had a great impact on statistical practice or research. The committee has just announced the winner (or in this, joint winners) of the first award: Robert Gentleman and Ross Ihaka, for their work in initiating the R Project for Statistical Computing.”

via Revolutions: R creators win prestigious Statistical Computing and Graphics Award.

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Posted in Programming, Software

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Interactive data visualizations with R

January 3rd, 2010

Jeroen Ooms, a visiting scholar at UCLA’s Department of Statistics, has been very busy with R — he has two wonderfully slick online apps where users are able (for free) to visualize datasets using R’s ggplot. If you’re interested in R, stocks, or just data visualization, you’ll find something of real value in his applications.

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Intro to The R Programming Language: For Programmers

August 31st, 2009

As someone who’s new to R and curious about what it can do, one of the first questions I ask is how does it compare to Java, C#, Perl, etc. (Insert language-of-choice here.) Fortunately,John Cook has answered that question with his blog post: The R programming language for programmers coming from other programming languages. Take a few minutes to check it out and see for yourself why R is the up-and-comer.

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Google’s R Style Guide

August 15th, 2009

I’m still pretty new to R, but find that Google’s using it in lots of places, like MapReduce. Google’s R Style Guide outlines the directions to R programmers. It’s an interesting read — very simple and efficient. (Thanks to the post on Revolutions blog for the link.)

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Missing Scale: Lack of Critical Information Is Misleading

August 9th, 2009

How important is knowing the scale when looking at data? Hopefully, you’ll agree, “very”, but I was amazed to see how much is missed (and misunderstood) without knowing the scale of my latest run performance.

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Posted in Running, Software

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Turning Statistics Into Knowledge: Seminar Review and Notes

July 24th, 2009

I had the pleasure of attending the Seminar on Innovative Approaches to Turn Statistics into Knowledge, hosted by the US Census Bureau, the World Bank, and the OECD. While Robert Kosara, from UNC Charlotte, has a fairly thorough review (but not focusing on the technical aspects) of the seminar, and I would agree with most of his points (except for the presentation by David Spiegelhalter and Mike Pearson; their presentation was geared toward (and succeeded in) linking data with decision making), I didn’t read much about the technical side of things, so I thought I’d cover those areas here.

Here’s the low-down:

» Read more: Turning Statistics Into Knowledge: Seminar Review and Notes

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Posted in Data Visualization, Programming, Software, Tools, Website

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LOESS in Excel: Big deal?

June 30th, 2009

While I’m no statistician, I’ve enjoyed dabbling in R and appreciate its simplicity and power. Take the LOESS function, for example. It’s built in to R. Excel needs a plug-in. Wow. Gotta love R. Used to love Excel, then I grew up (just a little :)

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New R script: Plot Nike+ runs

June 5th, 2009

I’ve been playing around with R and Nike+ and thought I’d put the two together, so I wrote a little R script that pulls your public data from the Nike+ website and plot out the graphs. It’s a little rough around the edges (see below for a list of enhancements/fixes), but it generates plots. I like SlowGeek, but found their smoothing function a bit too “smooth” — it was shaving 1/2 mph from my run speeds. I wasn’t happy with that ;) Read more to get the source code, below.

Sample: Sample

For an example of what it might look like, you can see my plots.

» Read more: New R script: Plot Nike+ runs

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Posted in Programming, Running, Software, Tools, Website

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