Monthly Archives: April 2015

Wakefield: Random Data Set (Part II)

April 29, 2015
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Wakefield: Random Data Set (Part II)

This post is part II of a series detailing the GitHub package, wakefield, for generating random data sets. The First Post (part I) was a test run to gauge user interest. I received positive feedback and some ideas for improvements, … Continue reading →

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Modeling the Latent Structure That Shapes Brand Learning

April 29, 2015
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Modeling the Latent Structure That Shapes Brand Learning

What is a brand? Metaphorically, the brand is the white sphere in the middle of this figure, that is, the ball surrounded by the radiating black cones. Of course, no ball has been drawn, just the conic thorns positioned so that we construct the sphere ...

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the most patronizing start to an answer I have ever received

April 29, 2015
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the most patronizing start to an answer I have ever received

Another occurrence of a question on X validated where the originator (primitivus petitor) was trying to get an explanation without the proper background. On either Bayesian statistics or simulation. The introductory sentence to the question was about “trying to understand how the choice of priors affects a Bayesian model estimated using MCMC”

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Visualizing fits, inference, implications of (G)LMMs with Jaime Ashander

April 29, 2015
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A couple of weeks at the Davis R Users’ Group, Jaime Ashander gave a presentation on and visualizing and diagnosing (G)LMMs in R. Here’s the video: Jaime also wrote up the notes from his talk, including all the code, on his blog here (with the raw R Markdown file on github here). The material in the blog post...

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Turning Data Into Awesome With sqldf and pandasql

April 29, 2015
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Turning Data Into Awesome With sqldf and pandasql

Both R and Python possess libraries for using SQL statements to interact with data frames. While both languages have native facilities for manipulating data, the sqldf and pandasql provide a simple and elegant interface for conducting tasks using an intuitive framework that’s widely used by analysts.         R and sqldf sqldf("SELECT COUNT(*) FROM df2 WHERE

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R, Python, MATLAB, & Excel Dashboards & Graphs with D3.js & WebGL

April 29, 2015
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R, Python, MATLAB, & Excel Dashboards & Graphs with D3.js & WebGL

Web tools like D3.js and WebGL let you make beautiful, interactive 2D and 3D graphs. You can now publish graphs and dashboards with these technologies using Python, R, MATLAB, & Excel. Publishing and sharing is one extra line of code. This post puts you on your way, no downloads or installations required. We’ll start with ggplot2; scroll to see Python and MATLAB plots in 2D and 3D. See our

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Benchmarks of RRO on OSX and Ubuntu

April 29, 2015
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Benchmarks of RRO on OSX and Ubuntu

Bay Area engineer Vineet Abraham recently ran some benchmarks for Revolution R Open (RRO) running on Mac OS X and on Ubuntu. Thanks to the multi-threaded processing capabilites of RRO, several operations ran much faster than R downloaded from CRAN, without having to change any code: For the most part, RRO performs significantly faster than standard R both locally...

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See R in action at the BUILD conference

April 29, 2015
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See R in action at the BUILD conference

Build 2015, the Microsoft conference which brings around 5,000 developers to the Moscone Center in San Francisco, begins tomorrow. The conference is sold out, but you can livestream the keynote presentations from buildwindows.com to catch all the big announcements. You can also follow along on Twitter at the #Build2015 hashtag. There will be a major keynote presentation featuring CEO...

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Finance-YahooQuote 0.25 hotfix

April 29, 2015
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A hotfix release for the Finance-YahooQuote Perl module on CPAN is now available. Available Yahoo! Finance decided to change the base URL. My thanks to Nicola Chiapolini who not only noticed but also sent me the one-line patch fixing this: --- YahooQuote.pm~ 2010-03-27 01:44:10.000000000 +0100 +++ YahooQuote.pm 2015-04-29 11:31:20.407926674 +0200 @@...

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Twelve Graphs & Dashboards You Should See On Climate Change, Science, & Public Opinion

April 28, 2015
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Twelve Graphs & Dashboards You Should See On Climate Change, Science, & Public Opinion

Plotly has teamed up with The White House on President Obama’s Climate Data Initiative to explore and explain climate trends. This post is our first contribution. You’ll see interactive graphs about: temperature and CO2 (4), climate change & environmental impact (4), attitudes about global warming (3), and a population graph. If you like this post, please share it with...

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