Blog Archives

The R community is one of R’s best features

July 5, 2017
By

Excellent summary here.

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R Users Will Now Inevitably Become Bayesians

January 14, 2016
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Good post here. I would also add that the rethinking package is a third option that helps R users to become a Bayesian.

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R Users Will Now Inevitably Become Bayesians

January 14, 2016
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Good post here. I would also add that the rethinking package is a third option that helps R users to become a Bayesian.

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How to use SparkR within Rstudio?

June 14, 2015
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Setting up Spark and SparkR is quite easy (assume you are running v.1.4): just grab one of the pre-built binaries and unzip to a folder. There is also a shell script to start SparkR from command line. The document suggest to put the following linesSys....

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JASP

March 3, 2015
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JASP is an interesting project. It is based on R with additional facilities and functions such as automatic table generation. There appears to be an R package that provide that functions directly to R users. Very worth checking out.

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R is now the #12 most popular programming language

November 9, 2014
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According to the most recent TIOBE index, R is the #12 most popular programming language.

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R2MLwiN package

September 13, 2012
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The new package R2MLwiN package bridges R and MLwinN software for multilevel analysis. From the examples provided, it looks very promising. It will be great if a command line version of MLwiN can be made available under Linux so the package can be usef...

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R_inferno

February 20, 2012
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Knowing the weakness of your tool is a shortcut toward getting really good at it.

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Some Rcpp benchmarks

January 22, 2012
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I ran the Fibonacci number example from the Rcpp package on a number of computers and operating systems. Here are the results:A. On my main computer (Core 2 Extreme 3.06GHz, 8 GB memory) running Ubuntu 10.04 (g++ 4.4.3):        test...

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Visual debugger and the debug mode of the autorun R console

January 12, 2012
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The StatET team kept their promise and delivered the autorun R console with debug mode on. This, combined with the visual debugger, makes the StatET a very appealing cross-platform environment for working with R.

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