Monthly Archives: January 2013

R version 3 scheduled for April

January 2, 2013
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Ringing in the New Year, Peter Dalgaard announced yesterday on behalf of the entire R Core Team that the R language will graduate to Version 3 around April 1. This is only the third time that R has incremented its primary version number. Version 1.0.0 (released on February 29, 2000) was the first version deemed stable for production use....

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Just another R blog

January 2, 2013
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New year, new resolutions. This year, as a personal challenge, I decided to create a blog where I could share (and also receive) some tricks and tips about R programming language. The main motivation behind this blog is to learn how to use Knitr (http://yihui.name/knitr/). While I'm very concerned about the importance of...

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The (near) Future of Data Analysis – A Review

January 2, 2013
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The (near) Future of Data Analysis – A Review

Sean Murphy co-organizes Data Business DC, among many other things. Hadley Wickham, having just taught workshops in DC for RStudio, shared with the DC R Meetup his view on the future, or at least the near future of Data Analysis. … Continue reading → The post The (near) Future of Data Analysis – A Review appeared first on...

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The Unravelling of Structured Investment Vehicles or Birthdays

January 2, 2013
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The best way for me to achieve deep understanding of a theorem is not through lengthy proofs alone, but through practical application/implementation or as they said in the Marine Corps Pract-App. One of the many reasons I love R is the ease to write functions and test results. The 2008 financial crisis was the topic of a recent dinner

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You can’t spell loss reserving without R

January 2, 2013
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You can’t spell loss reserving without R

Last year, I spent a morning trying to return to first principles when modeling loss reserves. (Brief aside to non-actuaries: a loss reserve is the financial provision set aside to pay for claims which have either not yet settled, or have not yet been reported. If that doesn’t sound fascinating, this will likely be a

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Computing for Data Analysis, and Other Free Courses

January 2, 2013
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Coursera's free Computing for Data Analysis course starts today. It's a four week long course, requiring about 3-5 hours/week. A bit about the course:In this course you will learn how to program in R and how to use R for effective data analysis. Y...

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R code and data for book “R and Data Mining: Examples and Case Studies”

January 2, 2013
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R code and data for book “R and Data Mining: Examples and Case Studies”

R code and data for book “R and Data Mining: Examples and Case Studies” are now available at http://www.rdatamining.com/books/rdm/code. An online PDF version of the book (the first 11  chapters only) can also be downloaded at http://www.rdatamining.com/docs. Below are its … Continue reading →

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NFL Code on Github

January 2, 2013
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NFL Code on Github

I’ve made some revisions and simplifications to the code to compile NFL data. It’s now all out on Github for anyone to play with in advance of the Superbowl. In the meantime, here’s a lovely picture comparing every team’s offense- as measured by total offensive yards- against their defenders. Note the anemic Chicago offense. https://github.com/PirateGrunt/NFL

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Packages v. Libraries in R

January 2, 2013
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Packages v. Libraries in R

In the past I've used the terms "R library" and "R package" synonymously (e.g. this blog post and this paper), but a careful reader has called me out. Mark Sharp notes that there are differences between libraries and packages. Chapter one of the R Manual Writing R Extensions gives the details: A package is a directory of files which I encourage you...

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Producing animated GIFs and Videos

January 2, 2013
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Producing animated GIFs and Videos

It took me a while to figure out how to use the animation package on my Windows OS. In making an animated GIF, the problem seems to have been quite simple in the end (and I should have been more patient in reading the instructions!) - Following installation of the program ImageMagick, one has...

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