830 search results for "parallel"

Loading and/or Installing Packages Programmatically

May 8, 2012
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In R, the traditional way to load packages can sometimes lead to situations where several lines of code need to be written just to load packages. These lines can cause errors if the packages are not installed, and can also be hard to maintain, particularly during deployment. Fortunately, there is a way to create a function in R...

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Loading and/or Installing Packages Programmatically

May 7, 2012
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In R, the traditional way to load packages can sometimes lead to situations where several lines of code need to be written just to load packages. These lines can cause errors if the packages are not installed, and can also be hard to maintain, particularly during deployment. Fortunately, there is a way to create a function in R that...

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The hockeystick revisited

May 7, 2012
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The hockeystick revisited

Previous posts: Correlation of temperature proxies with observations The “best” proxies for temperature reconstruction Okay, I couldn’t resist. I wanted to provide some more in depth analysis of temperature proxies, but I just went ahead and did my own little reconstruction of Northern hemisphere annual average temperatures over the past millenium using McShane et al.‘s

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Bivariate linear mixed models using ASReml-R with multiple cores

May 7, 2012
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Bivariate linear mixed models using ASReml-R with multiple cores

A while ago I wanted to run a quantitative genetic analysis where the performance of genotypes in each site was considered as a different trait. If you think about it, with 70 sites and thousands of genotypes one is trying … Continue reading →

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Big Data Analytics with R and Hadoop

May 3, 2012
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The open-source RHadoop project makes it easier to extract data from Hadoop for analysis with R, and to run R within the nodes of the Hadoop cluster -- essentially, to transform Hadoop into a massively-parallel statistical computing cluster based on R. In yesterday's webinar (the replay of which is embedded below), Data scientist and RHadoop project lead Antonio Piccolboni...

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Speeding up R with Intel’s Math Kernel Library (MKL)

May 2, 2012
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Speeding up R with Intel’s Math Kernel Library (MKL)

I did some comparisons of the generic BLAS with Intel's MKL (both sequential and parallel) on a Dell PowerEdge 610 server with dual hyperthreading 6-core 3.06GHz Xeon X5675 processors.  Here are the results from an R benchmarking script (Normal R ...

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Speeding up R with Intel’s Math Kernel Library (MKL)

May 2, 2012
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I did some comparisons of the generic BLAS with Intel's MKL (both sequential and parallel) on a Dell PowerEdge 610 server with dual hyperthreading 6-core 3.06GHz Xeon X5675 processors.  Here are the results from an R benchmarking script (Normal R indicates the generic BLAS,  sMKL is the sequential (single core Intel MKL, and pMKL is the parallel Intel MKL using...

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phyloseq: Reproducible interactive analysis of microbiome census data using R

April 26, 2012
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phyloseq: Reproducible interactive analysis of microbiome census data using R

Collaborative development of phyloseq on GitHub. Official stable release of phyloseq on Bioconductor. Advances in DNA sequencing technology have dramatically improved the scope and scale of culture-independent investigations into microbial communities. There are effective software tools available to process raw DNA … Continue reading →

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AdfTest Function Enhanced With Rcpp Armadillo

April 26, 2012
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In my previous post about rewriting my code to run in parallel part one I mentioned that we will make a small change to adfTest() function as well. In this post we will perform this small but performance-dramatic change. When you take a closer look at the source code of this particular function from fUnitRoots package

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spam evolution

April 26, 2012
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spam evolution

Despite some rather modest protection (like a simple captcha), I still receive spammy comments on this blog every now and again. They’re easily spotted and actually never appear on the website. There’s obviously an incentive for the spammer to post … Continue reading →

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