Monthly Archives: July 2013

Flotsam 13: early July links

July 9, 2013
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Man flu kept me at home today, so I decided to do something ‘useful’ and go for a linkathon: Ed Yong discusses the effect of subject expectations in psychology experiments Nice Results, But What Did You Expect? At the beginning there was another article on The placebo phenomenon, and another one on The placebo defect.

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2013-7 Advanced SVG Graphics from R

July 9, 2013
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The gridSVG package has recently provided an interface for some more advanced SVG graphics features: gradient fills and pattern fills, clipping paths, masks, and filters. This report describes a simple test case for some of these advanced graphics features and … Continue reading →

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A Sudoku Puzzle Solver – attempt 1

July 9, 2013
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A Sudoku Puzzle Solver – attempt 1

I have programmed up a R based Sudoku problem solver for Sudoku puzzles of that only require simple inference.  In these puzzles a solution can be found using only first order inference.  This solver can be found at the end of the code locate...

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%in%

July 9, 2013
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I just stumbled across a really useful infix function in R: %in%. It compares two vectors and returs a logical vector if there is a match or not for its left operand. Let us look at some examples: > 1:10 %in% c(1,3,5,9) TRUE FALSE TRUE...

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user2013: The caret tutorial

July 9, 2013
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user2013: The caret tutorial

This afternoon I went to Max Kuhn’s tutorial on his caret package. caret stands for classification and regression (something beginning with e) trees. It provides a consistent interface to nearly 150 different models in R, in much the same way as the plyr package provides a consistent interface to the apply functions. The basic usage

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user2013: The Rcpp tutorial

July 9, 2013
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user2013: The Rcpp tutorial

I’m at user 2013, and this morning I attended Hadley Wickham and Romain Francois’s tutorial on the Rcpp package for calling C++ code from R. I’ve spent the last eight years avoiding C++ afer having nightmares about obscure pointer bugs, so I went into the room slightly skeptical about this package. I think the most

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X+1 uses Revolution R Enterprise for Marketing Optimization

July 9, 2013
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X+1 uses Revolution R Enterprise for Marketing Optimization

In a recent article at Statistics View, Lillian Pierson describes how the X+1 Origin Digital Marketing Hub helps companies like JP Morgan Chase and Verizon optimize their marketing efforts. Back in 2011, X+1 saw the need to update their analytics platform to deal with increasing data sizes and to serve the increasingly sophisticated needs of their marketing clients: What...

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A Rough Guide to Data Science

July 9, 2013
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A Rough Guide to Data Science

If Big Data was last year's buzzword, Data Science may reach the same level of hype this year. There's no shortage of discussion about the high demand for data scientists, the term's usefulness as a designation, and even declarations of its "sexiness" as a career. And as with many terms that reach a critical mass on social media, data...

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For faster R use OpenBLAS instead: better than ATLAS, trivial to switch to on Ubuntu

July 9, 2013
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R speeds up when the Basic Linear Algebra System (BLAS) it uses is well tuned. The reference BLAS that comes with R and Ubuntu isn't very fast. On my machine, it takes 9 minutes to run a well known R benchmarking script. If I use ATLAS, an optimized BLAS that can be easily installed, the

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For faster R use OpenBLAS instead: better than ATLAS, trivial to switch to on Ubuntu

July 9, 2013
By

R speeds up when the Basic Linear Algebra System (BLAS) it uses is well tuned. The reference BLAS that comes with R and Ubuntu isn’t very fast. On my machine, it takes 9 minutes to run a well known R … Continue reading →

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