1086 search results for "parallel"

analyze the program for international student assessment (pisa) with r and monetdb

December 9, 2013
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the authoritative source for evaluating educational achievement across nations, the program(me) for international student assessment ranks the math, science, and reading skills of 15-year-olds in more than sixty countries.  coordinated by the orga...

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Comparing mnlogit and mlogit for discrete choice models

December 8, 2013
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Earlier this weekend (Dec. 7, 2013), mnlogit was released on CRAN by Wang Zhiyu and Asad Hasan ([email protected]) claiming that mnlogit uses “parallel C++ library to achieve fast computation of Hessian matrices”. Here is a comparison of mnlogit with mlogit by Yves Croissant whose package seems to be the inspiration for mnlogit. I will estimate the same model using the same data...

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Fall is the data analysis season

December 7, 2013
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Fall is the data analysis season

Dear diary, I spent a lot of my summer in the lab, and my fall has been mostly data analysis, with a little writing and a couple of courses thrown in there. Data analysis means writing code, and nowadays I do most of my work with the help of R. R has even replaced python

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R / Bioconductor for High-Throughput Sequence Analysis

December 6, 2013
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I would like to recommend a recent workshop material on R/Bioconductor from Marc Carlson et al.http://www.bioconductor.org/help/course-materials/2013/SeattleMay2013/PDF: IntermediateSequenceAnalysis2013.pdfR script: IntermediateSequenceAnalysis201...

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More Explorations with catR

December 1, 2013
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More Explorations with catR

# For the purposes of simulating computerized adaptive tests# the R package catR is unparallelled. # catR is an excellent tool for students who are curious about# how a computerized adaptive test might work. It is also useful# for testing companie...

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Five ways to handle Big Data in R

November 27, 2013
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Five ways to handle Big Data in R

Big data was one of the biggest topics on this year’s useR conference in Albacete and it is definitely one of today’s hottest buzzwords. But what defines “Big Data”? And on the practical side: How can big data be tackled in R? What data is big? Hadley Wickham, one of the best known R developers,

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How can R and Hadoop be used together?

November 26, 2013
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How can R and Hadoop be used together?

By inspired from this Quora question, I have been started working on how can R and Hadoop integrated to be used together? By very hard verification process, finally I got the possible ways to use R and Hadoop together for performing Big Data Analytics. This blog post is written with consideration of helping to a The post How...

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Predicting claims with a bayesian network

November 19, 2013
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Predicting claims with a bayesian network

Here is a little Bayesian Network to predict the claims for two different types of drivers over the next year, see also example 16.16 in . Let's assume there are good and bad drivers. The probabilities that a good driver will have 0, 1 or 2 claims in any given year are set to 70%, 20% and 10%,...

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Iterators in R: a tutorial

November 18, 2013
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Iterators — object-oriented programming constructs that act as a pointer in an ordered sequence — are familiar to programmers of languages like Python, but are not a standard part of the R language. Nonetheless, by installing the iterators package (an open-source contribution by Revolution Analytics) you can create and manipulate iterator objects in R. If you're new to iterators,...

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Trying to reduce the memory overhead when using mclapply

November 14, 2013
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Trying to reduce the memory overhead when using mclapply

I am currently trying to understand how to reduce the memory used by mclapply. This function is rather complicated and others have explained the differences versus parLapply (A_Skelton73, 2013; Read more »

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