Publications by bryan
Building Scoring and Ranking Systems in R
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 valuable management tools. They can be used to predict the future, make decisions, and improve behav...
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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 expl...
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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 expl...
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Subscriptions Feature Added
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Installing quantstrat from R-forge and source
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. Custom solutions are almost always the best way to do this, but the quantstrat package can make ...
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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 and if you’re not already accustomed to using IDEs for other languages, you probably haven’t...
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Animations in R
Animated charts can be very helpful in illustrating concepts or discovering relationships, which makes them very helpful in teaching and exploratory research. Fortunately, creating animated graphs in R is fairly straightforward, once you have the right tools and understand a few basic principles about how the animations are created. In this artic...
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The Art of R Programming – Matloff (2011)
It’s difficult to write a book on an entire programming language and keep it manageable and concise, but The Art of R Programming does it as well as any text I’ve seen. Matloff covers, in detail and among other things, R data structures, programming idioms, performance enhancements, interfaces with other languages, debugging and graphing. Tit...
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Progress bars in R using winProgressBar
Using progress bars in R scripts can provide valuable timing feedback during development and additional polish to final products. winProgressBar and setWinProgressBar are the primary functions for creating progress bars in R. Progress bars, and progress indicators in general, are relatively uncommon in R programming. This makes sense, as they can...
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R Helper Functions
If you do a lot of R programming, you probably have a list of R helper functions set aside in a script that you include on R startup or at the top of your code. In some cases helper functions add capabilities that aren’t otherwise available. In other cases, they replicate functionality that is available elsewhere without loading unnecessary com...
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