Monthly Archives: February 2013

Top 6 reasons you need to be using RStudio

February 25, 2013
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Top 6 reasons you need to be using RStudio

Rstudio provides you with tools to make your work more productive.New to R? -  check out these resources for getting staRted. RStudio is an awesome tool that can help you do your work better and faster.  In technical terms...

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Revolution Newsletter: February 2013

February 25, 2013
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The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full February edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Case study: Real-Time Marketing Analytics. Online advertising technology company Exelate uses predictive models to...

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Course: Statistical Practice in Epidemiology with R

February 25, 2013
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Course: Statistical Practice in Epidemiology with R

Statistical Practice in Epidemiology with R is a one week course aimed at promoting the use of R among epidemiologists. This annual course has been running almost every year since 2004. This year, the course will take place from 23 … Continue reading →

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Reproducible research with R, Knitr, Pandoc and Word

February 25, 2013
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Add references and a style sheet Below I briefly outline why Pandoc is an essential part of my research workflow, and demonstrate how to seamlessly integrate it with a bibliographic system and code written in R to produce high quality word or pdf documents. I also...

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Portfolio tests of predicted returns

February 25, 2013
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Portfolio tests of predicted returns

Exploring the quality of predictions using random portfolios and optimization. Previously “Simple tests of predicted returns” showed a few ways to look at expected returns at the asset level.  Here we move to the portfolio level. The previous post focused on correlation.  Win Vector Blog points out that gauging prediction quality using correlation can be … Continue reading...

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Optimizing a multi-modal function with a two step anneal method.

February 24, 2013
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Optimizing a multi-modal function with a two step anneal method.

I have been working on a reliable optimization method for this crazy function. f.egg<-function(x,y){ (2+cos(x)+cos(y))/(100+x^2+y^2) }I noticed that if I had a large variance in the random normal generator, the optimizer would jump all over t...

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Optimizing a multi-modal function with a two step anneal method.

February 24, 2013
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Optimizing a multi-modal function with a two step anneal method.

I have been working on a reliable optimization method for this crazy function. f.egg<-function(x,y){ (2+cos(x)+cos(y))/(100+x^2+y^2) }I noticed that if I had a large variance in the random normal generator, the optimizer would jump all over t...

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MLB runs allowed by team

February 24, 2013
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Or, How good were the Maddux/Glavine-era Braves?In this on-going series of posts about run scoring in Major League Baseball, for this installment I'll turn the equation around and look at runs allowed.  In order to account for the changing run scoring environments, the runs allowed by individual teams is compared to the league average for that season,...

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R Bootcamp Materials!

February 24, 2013
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R Bootcamp Materials!

Learn about ColoRs in R!Analyze model results with custom functions.Good and Bad GraphicsTo train new employees at the Wisconsin Department of Public Instruction, I have developed a 2-3 day series of training modules on how to get work done in R. These...

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Rcpp class in Sat 9 Mar in NYC

February 24, 2013
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Join Dirk Eddelbuettel for six hours of detailed and hands-on instructions and discussions around Rcpp, RInside, RcppArmadillo, RcppGSL and other packages . . . Rcpp has become the most widely-used language extension for R. Currently deployed by 103 CRAN packages and a further 10 BioConductor packages, it permits users and developers to pass “whole R The post Rcpp...

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