Monthly Archives: October 2013

Tableau adds integration with R

October 8, 2013
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Tableau, the popular interactive data visualization tool, is coming out with a new 8.1 update, and it will include integration with the R language. Access to R is a feature that has been requested by Tableau users for some time, and was met with rapturous applause when it was announced at the recent Tableau customer conference. When released, Tableau...

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Post 4: Sampling the person ability parameters

October 8, 2013
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Post 4: Sampling the person ability parameters

The previous post outlined the general strategy of writing a MH within Gibbs sampler by breaking the code into two levels: a high level shell and a series of lower-level samplers which do the actual work. This post discusses the … Continue reading →

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rCharts goes Polar

October 8, 2013
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rCharts goes Polar

The new micropolar library from Chris Viau, author of   gives us reusable charts with polar coordinates for d3.js.  In testament to rCharts design, Ramnath Vaidyanathan integrated micropolar with rCharts in less than 30 minutes.  I don’t use polar coordinates much, so I wrote this quick little comparison of Cartesian and...

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Post 3: Setting up the sampler and visualizing its output

October 8, 2013
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Post 3: Setting up the sampler and visualizing its output

In the chapter, we argue that a useful way to develop a Metropolis-Hastings (MH) within Gibbs sampler is to split the code into two levels. The top level is the "shell" of the MH within Gibbs algorithm, which sets up … Continue reading →

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Too crude to be true?

October 8, 2013
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Too crude to be true?

The key to programming is being lazy; it has actually been called a virtue by some. When I discovered the update() function it blew me away. Within short I had created a monster based upon this tiny function, allowing quick and easy output of regression tables that contain crude and adjusted estimates. In this post I’ll show...

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New course on bayesian data analysis for psycholinguistics

October 8, 2013
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I decided to teach a basic course on bayesian data analysis with a focus on psycholinguistics. Here is the course website (below). How could this possibly be a bad idea!http://www.ling.uni-potsdam.de/~vasishth/advanceddataanalysis.html

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Guide to using rOpenSci packages during the US Gov’t shutdown

October 8, 2013
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Note: This is cross-posted from the rOpenSci blog, which will update with this post when our technical snafu is fixed. With the US government shut down, many of the federal government provided data APIs are down. We write R packages to interact with m...

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Road for Data Scientist by Swami

October 7, 2013
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Road for Data Scientist by Swami

Read away, A interesting post about skills to become Data Scientist.The post is about  Where to start? When do you start seeing light at the end of the tunnel? What is the learning roadmap? What tools and techniques do I need to know? &n...

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American Indians vs Indian Americans, statewide population using googleVis

October 7, 2013
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The population of Native Americans in the United States is estimated to be anywhere upto 20 million (http://en.wikipedia.org/wiki/Native_Americans_in_the_United_States). I wanted to find out what the population of Native Americans (originally referred to as American Indians by immigrants) is and compare it to the number of Indians from India (Indian Americans). I wanted to do this comparison by county,...

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Sensitivity analysis for neural networks

October 7, 2013
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Sensitivity analysis for neural networks

I’ve made quite a few blog posts about neural networks and some of the diagnostic tools that can be used to ‘demystify’ the information contained in these models. Frankly, I’m kind of sick of writing about neural networks but I wanted to share one last tool I’ve implemented in R. I’m a strong believer that

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