Monthly Archives: February 2013

Two papers about RcppEigen and RcppArmadillo published

February 23, 2013
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Two papers got published recently. The first one is Bates and Eddelbuettel (2013). It is titled Fast and Elegant Numerical Linear Algebra Using the RcppEigen Package, and provides a pretty thorough introduction to our RcppEigen package which uses Rcpp to provide access to the Eigen C++ template library from GNU R. The paper is out as Volume 50, Issue 5 at the (all...

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The Financial Crisis on Tape Part I

February 23, 2013
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The Financial Crisis on Tape Part I

Hello and welcome to Joe's Data Diner's first ever post!Today, I will touch on both R and Finance, but I'll try and make it accesible for those with an interest in either and not just Quants like myself!Almost everyone is now aware that asset correlati...

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Getting Help with R Programming: Useful Survival Skills

Getting Help with R Programming: Useful Survival Skills

Useful Resources to Learn about R on the Internet When I program in R and struggle with something, the first thing that I usually turn to is Google.  I search the relevant function or the desired outcome, and I often find the solutions within the first few hits.  They likely show up in the documentation,

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Simulating Population Growth in Cities Using R

February 23, 2013
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Simulating Population Growth in Cities Using R

R is great for anyone who wants to get started on learning Simulation. (Both Discrete Event or Agent-based, with stochastic elements in the process.) This post is inspired by Matt Asher's "quick-and-dirty" R simulation work on Population Growth. Matt u...

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from OTU table to HEATMAP!

February 23, 2013
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from OTU table to HEATMAP!

In this tutorial you will learn: what is a heatmap how to create a clean, highly customizable heatmap using heatmap.2 in the gplots package in R how to remove samples with poor output (not very many sequences) how to rearrange your samples by a metadata category how to make a color coded bar above the heatmap

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Free e-book on Data Science with R

February 22, 2013
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Free e-book on Data Science with R

A new book by Jeffrey Stanton from Syracuse Iniversity School of Information Studies, An Introduction to Data Science, is now available for free download. The book, developed for Syracuse's Certificate for Data Science, is available under a Creative Commons License as a PDF (20Mb) or as an interactive eBook from iTunes. The book begins with the following clear definition...

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Shiny 0.4.0 now available

February 22, 2013
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Shiny 0.4.0 now available

Shiny version 0.4.0 is now available on CRAN. The most visible change is that the API has been slightly simplified. Your existing code will continue to work, although Shiny will print messages about how to migrate your code. Migration should be straightforward, as described below. It will take a bit of work to switch to

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Video: IBM Opinionated Infrastructure Hangout

February 22, 2013
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Had a great time earlier this week on a Google Hangout as part of the IBM Opinionated Infrastructure series. Moderator James Governor (analyst from RedMonk) kept the conversation lively, with topics ranging from to the value of information to the benefits of predictive analytics and evolution of Hadoop. R gets a mention at several points in the conversation, which...

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Migrating from SPSS to R #rstats

February 22, 2013
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Migrating from SPSS to R #rstats

Preface I will every now and then post my experience with R, a package for statistical analyses. I try to show some solutions for common types of analyses or problems you are facing when you start working with R. These … Weiterlesen →

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Don’t use correlation to track prediction performance

February 22, 2013
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Don’t use correlation to track prediction performance

Using correlation to track model performance is “a mistake that nobody would ever make” combined with a vague “what would be wrong if I did do that” feeling. I hope after reading this feel a least a small urge to double check your work and presentations to make sure you have not reported correlation where Related posts:

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