R

Blogs on the R software.

googleVis version 0.5.8 released

January 27, 2015
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googleVis version 0.5.8 released

We released googleVis version 0.5.8 on CRAN last week. The update is a maintenance release for the forthcoming release of R 3.2.0. Screen shot of some of the Google ChartsNew to googleVis? The package provides an interface between R and the Google Char...

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the density that did not exist…

January 26, 2015
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the density that did not exist…

On Cross Validated, I had a rather extended discussion with a user about a probability density as I thought it could be decomposed in two manageable conditionals and simulated by Gibbs sampling. The first component led to a Gumbel like density wirh y being restricted to either (0,1) or (1,∞) depending on β. The density […]

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Odds, odds ratio, language and intuition

January 25, 2015
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I was reading a statistics book the other day. I am at the beginning. In this section I read '(we) report results as odds ratios, which is more intuitive'. I must have read sentences stating this any number of times. But I don't agree.It may be my back...

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Calling R from Scala sbt projects

January 24, 2015
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Calling R from Scala sbt projects

Overview In previous posts I’ve shown how the jvmr CRAN R package can be used to call Scala sbt projects from R and inline Scala Breeze code in R. In this post I will show how to call to R from a Scala sbt project. This requires that R and the jvmr CRAN R package […]

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Assertive R programming in dplyr/magrittr pipelines

January 23, 2015
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Assertive R programming in dplyr/magrittr pipelines

A lot of my job–and side projects, for that matter–involve running R scripts on updates of open government data. While I’m infinitely grateful to have access to any interesting open datasets in the first place, I can’t ignore that dealing… Continue reading →

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Sequential Monte Carlo 2015 workshop

January 22, 2015
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Sequential Monte Carlo 2015 workshop

An announcement for the SMC 2015 workshop: Sequential Monte Carlo methods (also known as particle filters) have revolutionized the on-line and off-line analysis of data in fields as diverse as target tracking, computer vision, financial modelling, brain imagery, or population ecology. Their popularity stems from the fact that they have made possible to solve numerically many […]

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About replication bullies and scientific progress …

January 22, 2015
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These days psychology really is exciting, and I do not mean the Förster case … In May 2014 a special issue full of replication attempts has been released – all open access, all raw data released! This is great work, powered by the open sci...

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Communicating Risk and Uncertainty

January 20, 2015
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Communicating Risk and Uncertainty

David Spiegelhalter gave a fascinating talk on Communicating Risk and Uncertainty to the Public & Policymakers at the Grantham Institute of the Imperial College in London last Tuesday.In a very engaging way David gave many examples and anecdotes fr...

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SAS PROC MCMC example in R: Logistic Regression Random-Effects Model

January 18, 2015
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In this post I will run SAS example Logistic Regression Random-Effects Model in four R based solutions; Jags, STAN, MCMCpack and LaplacesDemon. To quote the SAS manual: 'The data are taken from Crowder (1978). The Seeds data set is a 2 x 2 fa...

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In the era of #repligate: What are valid cues for the trustworthiness of a study?

January 15, 2015
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[Update 2015/1/14: I consolidate feedback from Twitter, comments, email, and real life into the main text (StackExchange-style), so that we get a good and improving answer. Thanks to @TonyLFreitas, @PhDefunct, @bahniks, @JoeHilgard, @_r_c_a, @richardm...

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