384 search results for "animation"

Shiny 0.8.0 released; Yihui Xie joins RStudio

November 15, 2013
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Shiny 0.8.0 released; Yihui Xie joins RStudio

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

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Animated Twitter Networks

November 11, 2013
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Animated Twitter Networks

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

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Cont model back after a year

October 16, 2013
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Cont model back after a year

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...

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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...

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Some heuristics about local regression and kernel smoothing

October 8, 2013
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Some heuristics about local regression and kernel smoothing

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...

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

October 3, 2013
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The MakeR way: Using R to reify social media data via 3d printing

If you’ve read any of my previous posts you know

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What’s the Most “Concave” State in the U.S.? Using R to Solve a Geography Puzzle

October 1, 2013
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What’s the Most “Concave” State in the U.S.? Using R to Solve a Geography Puzzle

This is a guest post by Todd Schneider and the original link is http://news.rapgenius.com/Atodd-whats-the-most-concave-state-in-the-us-using-r-to-solve-a-geography-puzzle-lyrics. The puzzle: find two points inside the United States such that Both points are in the same state The straight line segment (shortest great circle) connecting them crosses the largest number of distinct states This came up during a recent road trip through Pennsylvania, Maryland, West Virginia,...

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Using R to Solve a Geography Puzzle

September 25, 2013
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Using R to Solve a Geography Puzzle

The puzzle: find two points inside the United States such that Both points are in the same state The straight line segment (shortest great circle) connecting them crosses the largest number of distinct states This came up during a recent road trip through Pennsylvania, Maryland, West Virginia, and Virginia, where I noticed that it’s possible...

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Creating your personal, portable R code library with GitHub

September 23, 2013
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Creating your personal, portable R code library with GitHub

As I discussed in a previous post, I have a few helper functions I’ve created that I commonly use in my work. Until recently, I manually included these functions at the start of my R scripts by either the tried and true copy-and-paste method, or by extracting them from a local file with the <code>source()</code> function. The former approach...

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Creating your personal, portable R code library with GitHub

September 23, 2013
By
Creating your personal, portable R code library with GitHub

As I discussed in a previous post, I have a few helper functions I’ve created that I commonly use in my work. Until recently, I manually included these functions at the start of my R scripts by either the tried and true copy-and-paste method, or by extracting them from a local file with the <code>source()</code> function. The former approach...

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