# 378 search results for "animation"

## Shaping up Laplace Approximation using Importance Sampling

December 2, 2013
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In the last post I showed how to use Laplace approximation to quickly (but dirtily) approximate the posterior distribution of a Bayesian model coded in R. This is just a short follow up where I show how to use importance sampling as an easy method to shape up the Laplace approximation in order to approximate the true...

## R Syntax for Ranked Choice Voting

November 30, 2013
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I have gotten several requests for the R syntax I used to analyze the ranked-choice voting data and create the animated GIF. Rather than just posting the syntax, I thought I might write a detailed post describing the process. Reading … Continue reading →

## Ranked Choice Voting

November 25, 2013
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The city of Minneapolis recently elected a new mayor. This is not newsworthy in and of itself, however the method they used was—ranked choice voting. Ranked choice voting is a method of voting allowing voters to rank multiple candidates in order of preference. In … Continue reading →

## Alpha testing shinyapps.io – first impressions

November 17, 2013
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ShinyApps.io is a new server which is currently in alpha testing to host Shiny applications.  It is being designed by the RStudio team and provides some distinct features different from that of the ShinyApps.io is intended for larger applications ...

## Shiny 0.8.0 released; Yihui Xie joins RStudio

November 15, 2013
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We’re very pleased to announce Shiny 0.8.0 (which actually went up on CRAN about two weeks ago). This release features a vastly better way to display tabular data, and new debugging tools that make it much easier to fix errors in your app. DataTables support We now support much more attractive and powerful displays of

November 11, 2013
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In this blogpost I presented a visualization made with R that shows how almost the whole world expresses its attention to political crises abroad. Here’s another visualization with Tweets in October 2013 that referred to the Lampedusa tragedy in the Mediterranean. But this transnational public space isn’t quite as static as it

## Cont model back after a year

October 16, 2013
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During ESSA2013 conference I had a discussion about Cont model I have commented a year ago.In original paper Cont highlights that his model produces distribution of returns characterized by positive excess kurtosis. In this post I want to investig...

## In case you missed it: September 2013 Roundup

October 11, 2013
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In case you missed them, here are some articles from September of particular interest to R users: Todd Schneider wrote an algorithm in R to find the "most concave" US state (it's NY), and created an animation to show how it works. Rob Hyndman (of the "forecast" package) describes how R-based forecasting saved the Australian government millions, in a...

## Some heuristics about local regression and kernel smoothing

October 8, 2013
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$\mathbb{E}(Y\vert X=x)=\beta_0+\beta_1 x$

In a standard linear model, we assume that . Alternatives can be considered, when the linear assumption is too strong. Polynomial regression A natural extension might be to assume some polynomial function, Again, in the standard linear model approach (with a conditional normal distribution using the GLM terminology), parameters can be obtained using least squares, where a regression of...

## The MakeR way: Using R to reify social media data via 3d printing

October 3, 2013
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If you’ve read any of my previous posts you know