Monthly Archives: March 2010

Accessing Climate Change Data and a Custom Panel Function for Filled Polygons

March 4, 2010
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Accessing Climate Change Data and a Custom Panel Function for Filled Polygons

GCS Model Grids Recently finished some collaborative work with Vishal, related to visualizing climate change data for the SEI. This project was funded in part by the California Energy Commission, with additional technical support from the Google Earth Team. One of the final products was an...

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An email about mixtures

March 4, 2010
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An email about mixtures

As a coincidence, or not, I received the following email just before starting our mixture estimation workshop (the above is Ben Nevis on Monday, whose skyline really looks like a three component mixture!) and giving a discussion on label switching: I am implementing a Markov-Chain Monte Carlo method for Gibbs sampling from a simple mixture

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Yet Another plyr Example

March 4, 2010
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Yet Another plyr Example

another plyr example quantiles (0.05, 0.25, 0.5, 0.75, 0.95) of DSC by temperature bin There are plenty of good examples on how to use functions from the plyr package. Here is one more, demonstrating how to use ddply with a custom function. Note that there...

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More on the Economist’s special report on big data

March 4, 2010
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I totally missed this the other day, but there's much more to that special report on the data deluge in The Economist. (Thanks to readers SB and DN for pointing this out.) There's an total of nine articles in the report (you can find them all in the Related Items box on this page), including a section on business...

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New Le Monde puzzle

March 3, 2010
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New Le Monde puzzle

When I first read Le Monde puzzle this weekend, I though it was even less exciting than the previous one: find and , such that is a multiple of . The solution is obtained by brute-force checking through an R program: and then the a next solution is (with several values for N). However, while

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Quality trimming in R using ShortRead and Biostrings

March 3, 2010
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I wrote an R function to do soft-trimming, right clipping FastQ reads based on quality.This function has the option of leaving out sequences trimmed to extinction and will do left-side fixed trimming as well.#softTrim#trim first position lower than minQuality and all subsequent positions#omit sequences that after trimming are shorter than minLength#left trim to firstBase, (1 implies no left trim)#input:...

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Quality trimming in R using ShortRead and Biostrings

March 3, 2010
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I wrote an R function to do soft-trimming, right clipping FastQ reads based on quality.This function has the option of leaving out sequences trimmed to extinction and will do left-side fixed trimming as well.#softTrim#trim first position lower than minQuality and all subsequent positions#omit sequences that after trimming are shorter than minLength#left trim to firstBase, (1 implies no left trim)#input:...

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Example of plotting a serial position curve in R

March 3, 2010
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Example of plotting a serial position curve in R

A while ago I wrote a co-wrote chapter for an introductory psychology text book Essential Psychology: A Concise Introduction. This is a book edited and written by members of the department where I work. My contribution was the chapter on huma...

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R-bloggers (with ~50 blogs) has just crossed the 1000 subscribers mark!

March 3, 2010
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R-bloggers (with ~50 blogs) has just crossed the 1000 subscribers mark!

I am very happy to discover so many of you readers are interested in the content that bloggers are posting about R. Over the past few months, 50 bloggers have come together in this place to share with all of us what they write about R. If you wish, you can see all of the articles they wrote in...

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Intelligent Enterprise: You Can Predict that R Will Succeed

March 3, 2010
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Analyst David Stodder at Intelligent Enterprise also noted the activity around R at the recent Predictive Analytics World conference in San Francisco, and he reviews his impressions in a column today. In fact, he attributes the increasing prominence of predictive analytics to R: Possibly the most important factor influencing the spread of predictive analytics is the growing popularity of...

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