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Monthly Archives: October 2011
Computing on the Language
And now for something a bit more esoteric…. I recently wrote a function to deal with a strange problem. Writing the function ended up being a fun challenge related to computing on the R language itself. Here’s the problem: Write … Continue reading
Visualizing Yahoo Email
Here is a cool page where yahoo shows you the email it is processing in real time. It includes a visualization of the most popular words in emails at a given time. A pretty neat tool and definitely good for … Continue reading
Web-scraping
The internet is the greatest source of publicly available data. One of the key skills to being able to obtain data from the web is “web-scraping”, where you use a piece of software to run through a website and collect … Continue reading
Archetypal Athletes
Here is a cool paper on the ArXiv about archetypal athletes. The basic idea is to look at a large number of variables for each player and identify multivariate outliers or extremes. These outliers are the archetypes talked about in … Continue reading
Graduate student data analysis inspired by a high-school teacher
I love watching TED talks. One of my absolute favorites is the talk by Dan Meyer on how math class needs a makeover. Dan also has one of the more fascinating blogs I have read. He talks about math education, primarily K-12 education. … Continue reading
The self-assessment trap
Several months ago I was sitting next to my colleague Ben Langmead at the Genome Informatics meeting. Various talks were presented on short read alignments and every single performance table showed the speaker’s method as #1 and Ben’s Bowtie as … Continue reading
Anthropology of the Tribe of Statisticians
From the BBC a pretty fascinating radio piece. …in the same way that a telescope enables you to see things that are too far away to see with the naked eye, a microscope enables you to see things that are … Continue reading
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Finding good collaborators
The job of the statistician is almost entirely about collaboration. Sure, there’s theoretical work that we can do by ourselves, but most of the impact that we have on science comes from our work with scientists in other fields. Collaboration … Continue reading