154 search results for "heatmap"

Mining Research Interests – or: What Would Google Want to Know?

October 25, 2013
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Mining Research Interests – or: What Would Google Want to Know?

I am a regular visitor of Google’s research page where they post all of their latest and upcoming scientific papers. Lately I have thought whether it would be possible to statistically extract some of the meta-information from the papers. Here’s the result of the analysis of the papers’ titles produced with just a few

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OA week – A simple use case for programmatic access to PLOS full text

October 21, 2013
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OA week – A simple use case for programmatic access to PLOS full text

Open access week is here! We love open access, and think it's extremely important to publish in open access journals. One of the many benefits of open access literature is that we likely can use the text of articles in OA journals for many things, including text-mining. What's even more awesome is some OA publishers provide API (application...

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Remembering the Gist, But Not the Details: One-Dimensional Representation of Consumer Ratings

October 13, 2013
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Remembering the Gist, But Not the Details:  One-Dimensional Representation of Consumer Ratings

In survey research, it makes a difference how the question is asked.  "How would you rate the service you received at that restaurant?" is not the same as "Did you have to wait to be seated, to order your meal, to be served your food, or to pay yo...

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Are you ready for some Football? (No not soccer)

September 20, 2013
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Are you ready for some Football? (No not soccer)

With two weeks of NFL football under our belts, it is time to start peaking under the proverbial hood at some of the statistics.  What better way than with R?  If you want the best stats out there, I recommend the website http://www.advancedn...

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MLB Rankings Using the Bradley-Terry Model

August 31, 2013
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MLB Rankings Using the Bradley-Terry Model

Today, I take my first shots at ranking Major League Baseball (MLB) teams. I see my efforts at prediction and ranking an ongoing process so that my models improve, the data I incorporate are more meaningful, and ultimately my predictions are largely accurate. For the first attempt, let’s rank MLB teams using the Bradley-Terry (BT) model. Before we discuss the rankings, we need...

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Presenting Conformance Statistics

August 27, 2013
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Presenting Conformance Statistics

A client came to me with some conformance data. She was having a hard time making sense of it in a spreadsheet. I had a look at a couple of ways of presenting it that would bring out the important points. The Data The data came as a spreadsheet with multiple sheets. Each of the

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My first Bioconductor conference (2013)

July 21, 2013
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My first Bioconductor conference (2013)

The BioC 2013 conference was held from July 17 to 19. I attended this conference for my first time, mainly because I'm working at the Fred Hutchinson Cancer Research Center this summer, and the conference venue was just downstairs! No flights, no hotel...

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Do the Simpsons characters like each other?

July 21, 2013
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Do the Simpsons characters like each other?

One day, while I was walking around Cambridge, I had a random thought — how do the characters on the Simpsons feel about each other? It doesn’t take long to figure out how Homer feels about Flanders (hint: he doesn’t always like him), or how Burns feels about everyone, but how does Marge feel about Bart? ...

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Do the Simpsons characters like each other?

July 21, 2013
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Do the Simpsons characters like each other?

One day, while I was walking around Cambridge, I had a random thought -- how do the characters on the Simpsons feel about each other? It doesn't take long to figure out how Homer feels about Flanders (hint: he doesn't always like him), or how Burns feels about everyone, but how does Marge feel about Bart? How does Flanders...

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Using R: Two plots of principal component analysis

June 26, 2013
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Using R: Two plots of principal component analysis

PCA is a very common method for exploration and reduction of high-dimensional data. It works by making linear combinations of the variables that are orthogonal, and is thus a way to change basis to better see patterns in data. You either do spectral decomposition of the correlation matrix or singular value decomposition of the data

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