Blog Archives

The Knapsack Problem

July 10, 2009
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The Knapsack Problem

David posts a question about how to solve this knapsack problem using the R statistical computing and analysis platform. My reply in the comments seems to have disappeared for a while so here is my proposed solution:

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The Knapsack Problem

July 10, 2009
By
The Knapsack Problem

David posts a question about how to solve this knapsack problem using the R statistical computing and analysis platform. My reply in the comments seems to have disappeared for a while so here is my proposed solution:

Read more »

OECD Statistics

July 2, 2009
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OECD Statistics

I am a sucker for good quality data. I wrote about data.gov, the US Government data site before, and now I find OECD Statistics which has some 300 data sets, many of which seems to be readily accessible (though some may require subscription)

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OECD Statistics

July 2, 2009
By
OECD Statistics

I am a sucker for good quality data. I wrote about data.gov, the US Government data site before, and now I find OECD Statistics which has some 300 data sets, many of which seems to be readily accessible (though some may require subscription)

Read more »

R tips: Determine if function is called from specific package

June 16, 2009
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R tips: Determine if function is called from specific package

I like the "multicore" library for a particular task. I can easily write a combination of if(require("multicore",...)) that means that my function will automatically use the parallel mclapply() instead of lapply() where it is available. Which is grand 99% of the time, except when my function is called from mclapply() (or one of the lower level functions)...

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R tips: Determine if function is called from specific package

June 16, 2009
By
R tips: Determine if function is called from specific package

I like the "multicore" library for a particular task. I can easily write a combination of if(require("multicore",...)) that means that my function will automatically use the parallel mclapply() instead of lapply() where it is available. Which is grand 99% of the time, except when my function is called from mclapply() (or one of the lower level functions)...

Read more »

R tips: Installing Rmpi on Fedora Linux

June 12, 2009
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R tips: Installing Rmpi on Fedora Linux

Somebody on the R-help mailing list asked how to get Rmpi working on his Fedora Linux machine so he could do high-performance computing on a cluster of machines (or a single multicore machine) using the R statistical computing and analysis platform. Since it is unusually painful to get working, I might as well copy the instructions...

Read more »

R tips: Installing Rmpi on Fedora Linux

June 12, 2009
By
R tips: Installing Rmpi on Fedora Linux

Somebody on the R-help mailing list asked how to get Rmpi working on his Fedora Linux machine so he could do high-performance computing on a cluster of machines (or a single multicore machine) using the R statistical computing and analysis platform. Since it is unusually painful to get working, I might as well copy the instructions...

Read more »

Data Mashups in R from O’Reilly

June 9, 2009
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Data Mashups in R from O’Reilly

O’Reilly has published Data Mashups in R as a $4.99 PDF download in their Short Cut series. In 27 pages it takes you through an example of how to combine foreclosure information with maps and geographical information...

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Data Mashups in R from O’Reilly

June 9, 2009
By
Data Mashups in R from O’Reilly

O’Reilly has published Data Mashups in R as a $4.99 PDF download in their Short Cut series. In 27 pages it takes you through an example of how to combine foreclosure information with maps and geographical information...

Read more »

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