Posts Tagged ‘ model ’

Text Mining

October 15, 2012
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Text Mining

When it comes down to it R does a really good job handling structured data like matrices and data frames. However, its ability to work with unstructured data is still a work in progress. It can and it does handle text mining but the documentation is incomplete and the capabilities still don’t compare to other

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Competition: $45,000 for identification of substances from electromagnetic signatures

May 13, 2011
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Competition: $45,000 for identification of substances from electromagnetic signatures

Canadian hi-tech company offers $45,000 for the best algorithm for identification of substances from electromagnetic signatures. —————————————— FIND Technologies Inc. is a Canadian company that owns novel sensor technology for measuring electromagnetic signatures of materials. The sensor is a robust, inexpensive instrument that detects passive electromagnetic emission from all matter. It has biomedical, homeland security, engineering, geological, and other...

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lme4 stands 4 Linear mixed-effects…

February 19, 2010
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lme4 stands 4 Linear mixed-effects…

There is a certain hype about mixed (and random) effects among statistician and analysts. You can show some love to Douglas Bates and Martin Maechler for maintaing the lme4 package for our cupid, R I copy the entity of the information of the projects page. Doxygen documentation of the underlying C functions is here. The

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R> if (done=TRUE) tweet me!

December 11, 2009
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R> if (done=TRUE) tweet me!

Let’s say that you’re fitting a cumbersome model so time is not to waste over a PC staring at the screen half anxious-half bored… Then, you can always leave and go on with meetings and all your daily routine and have R notify you the results! How? We will illustrate the situation above using some Bayesian Model

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