Monthly Archives: September 2012

New Book on Probability with R

September 6, 2012
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My first book on probability is completed. HTML version is freely available at theanalysisofdata.com and print version coming soon at a discounted price. Also, check out chapters 4 and 5 (available in pdf format) of the upcoming second volume on R programming and R graphics. http://theanalysisofdata.com/probability/viewer1.html (single page viewer) http://theanalysisofdata.com/probability/viewer2.html (two page viewer) http://theanalysisofdata.com/probability/0/0-2.pdf (table

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Get Long-Term Climate Data from KNMI Climate Explorer

September 6, 2012
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Get Long-Term Climate Data from KNMI Climate Explorer

You can query global climate data from the KNMI Climate Explorer (the KNMI is the Royal Netherlands Metereological Institute) with R.Here's a little example how I retreived data for my hometown Innsbruck, Austria and plotted annual total precipitation....

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Kickfollower launches!

September 6, 2012
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Hi internet, we’re happy to be here. We’ll be covering a range of topics in this blog — we’ll talk to inventors and creative people as they launch their projects from Kickstarter and IndieGoGo, we’ll talk about the crowd-funding industry and where it’s headed, and we’ll dig into the details of pricing and success rates … Continue reading...

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In case you missed it: August 2012 Roundup

September 6, 2012
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In case you missed them, here are some articles from June of particular interest to R users. RStan is a new package for Bayesian modeling with R. It's faster and can fit more highly-correlated models than the MCMC sampler of BUGS and JAGS. Biostatistician Corey Chivers used R to animate the epidemic-like growth of retailer Walmart in the US....

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The future of Artificial Intelligence – as imagined in 1989

September 6, 2012
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The future of Artificial Intelligence – as imagined in 1989

This image comes from the cover of Preliminary Papers of the Second International Workshop on Artificial Intelligence and Statistics (1989). Someone abandoned it in the lobby of my building at school. Whatever for, I’ll never know. I just love the idea of machine learning/AI/Statistics evoking a robot hand drawing a best fit line through some

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Export R plot to Illustrator or Inkscape

September 6, 2012
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Export R plot to Illustrator or Inkscape

Have you ever exported an R plot as a PDF and tried to edit it further by importing the PDF into a vector graphics program like Adobe Illustrator or Inkscape? What typically happens is the points on the plot get...

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BaselR meetup

September 6, 2012
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Mango Solutions host BaselR, a free, open and informal R user group for those using or interested in using R. There will be a few short R related presentations and an opportunity to meet and chat with other R users over a drink. Date: Thursday 13th September at 6.30pm. Venue : transBarent, Viaduktstrasse 3, Basel (by the train station)...

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Inference and autoregressive processes

September 6, 2012
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Inference and autoregressive processes

Consider a (stationary) autoregressive process, say of order 2, for some white noise with variance . Here is a code to generate such a process, > phi1=.5 > phi2=-.4 > sigma=1.5 > set.seed(1) > n=240 > WN=rnorm(n,sd=sigma) > ...

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Visually weighted/ Watercolor Plots, new variants: Please vote!

September 6, 2012
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Visually weighted/ Watercolor Plots, new variants: Please vote!

Update Oct-23: Added a new parameter add to the function. Now multiple groups can be plotted in a single plot (see example in my comment) As a follow-up on my R implementation of Solomon’s watercolor plots, I made some improvements to the function. I fine-tuned the graphical parameters (the median smoother line now diminishes faster

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Comparing Stan to JAGS for Bayesian Inference (Part 1?)

September 5, 2012
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Comparing Stan to JAGS for Bayesian Inference (Part 1?)

Stan is a new, open source, Bayesian inference tool. Stan is based on the the No-U-Turn sampler, a variant of Hamiltonian Monte Carlo. In order to compare Stan with JAGS, a gibbs sampler approach to Bayesian inference, I used the classic WinBUGS rats example. The rats example uses a hierarchical model to look at...

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