Blog Archives

RStudio Development Environment

March 23, 2012
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RStudio Development Environment

Compared to many other languages of equal popularity, there are realtively few development environments for R. In fact, the total number of production ready R IDEs could probably be counted on one hand. That deficiency is a small price to pay to use R ...

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Installing quantstrat from R-forge and source

January 10, 2012
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R is used extensively in the financial industry; many of my recent clients have been working in or developing products for the financial sector. Some common applications are to use R to analyze market data and evaluate quantitative trading strategies. ...

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Subscriptions Feature Added

December 7, 2011
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You can now subscribe to almost any content on the ProgrammingR website, including the job listings. By subscribing, you will receive email updates when new jobs are listed or when other content types you are following are posted or updated. To subscri...

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Bayesian Computation with R – Albert (2009)

October 4, 2011
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Title: Bayesian Computation with RAuthor(s): Jim AlbertPublisher/Date: Springer/2009Statistics level: High Programming level: Low Overall recommendation: Recommended Bayesian Computation with R focuses primarily on providing the reader with a basic un...

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Bayesian Computation with R – Albert (2009)

October 4, 2011
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Bayesian Computation with R – Albert (2009)

Title: Bayesian Computation with RAuthor(s): Jim AlbertPublisher/Date: Springer/2009Statistics level: High Programming level: Low Overall recommendation: Recommended Bayesian Computation with R focuses primarily on providing the reader with a basic understanding of Bayesian thinking and the relevant analytic tools included in R. It does not explore either of those areas in detail, though it does hit The post Bayesian...

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Building Scoring and Ranking Systems in R

May 3, 2010
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This guest article was written by author and consultant Tristan Yates (see his bio below). It emphasizes R's data object manipulation and scoring capabilities via a detailed financial analysis example. Scoring and ranking systems are extremely valuabl...

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Data Manipulation with R – Spector (2008)

April 30, 2010
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Data Manipulation with R – Spector (2008)

Title: Data Manipulation with RAuthor(s): Phil SpectorPublisher/Date: Springer/2008Statistics level: N/A Programming level: Intermediate Overall recommendation: Highly recommended If there is one book that every beginning R user coming from a programming background should have, it is Spector’s Data Manipulation with R. New R users with analytic backgrounds and experience with software packages such as SAS The post Data...

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Data Manipulation with R – Spector (2008)

April 30, 2010
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Title: Data Manipulation with RAuthor(s): Phil SpectorPublisher/Date: Springer/2008Statistics level: N/A Programming level: Intermediate Overall recommendation: Highly recommended If there is one book that every beginning R user coming from a program...

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Webscraping using readLines and RCurl

April 14, 2009
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There is a massive amount of data available on the web. Some of it is in the form of precompiled, downloadable datasets which are easy to access. But the majority of online data exists as web content such as blogs, news stories and cooking recipes. ...

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Helpful statistical references

April 7, 2009
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In a previous article I provided a list of R programming resources. As a complement to that post, I've compiled a list of statistically oriented websites that colleagues and I have found useful below. For the most part, these sites focus on statistic...

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