4146 search results for "git"

Interacting, on demand, with 2012 best cities data and plotting different graphs —- Experiments with ggplot2 on shiny server

April 25, 2013
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Interacting, on demand, with 2012 best cities data and plotting different graphs —- Experiments with ggplot2 on shiny server

Data from slides on Bloomberg businessweek's site: http://images.businessweek.com/slideshows/2012-09-26/americas-50-best-citiesIn this post, I show how one can interact with a dataset and generate graphs on the fly (technically, I've predetermined...

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Stamen maps with spplot

Stamen maps with spplot

Several R packages provide an interface to query map services (Google Maps, Stamen Maps or OpenStreetMap) to obtain raster images …Continuar leyendo »

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Review: Kölner R Meeting 12 April 2013

April 23, 2013
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Review: Kölner R Meeting 12 April 2013

Our 5th Cologne R user group meeting was the best attended meeting so far, with 20 members finding their way to the Institute of Sociology for two talks by Diego de Castillo on shiny and Stephan Holtmeier on cluster analysis, followed by beer and schnitzel at the Lux, a gastropub nearby.ShinyDiego gave an overview of...

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Time Varying Higher Moments with the racd package.

April 22, 2013
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Time Varying Higher Moments with the racd package.

The Autoregressive Conditional Density (ACD) model of Hansen (1994) extended GARCH models to include time variation in the higher moment parameters. It was a somewhat natural extension to the premise of time variation in the conditional mean and variance, though it probably raised more questions than it, or subsequent research have been able to answer.

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Time Varying Higher Moments with the racd package.

April 22, 2013
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Time Varying Higher Moments with the racd package.

The Autoregressive Conditional Density (ACD) model of Hansen (1994) extended GARCH models to include time variation in the higher moment parameters. It was a somewhat natural extension to the premise of time variation in the conditional mean and variance, though it probably raised more questions than it, or subsequent research have been able to answer.

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R et Twitter

April 22, 2013
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R et Twitter

(This article was first published on Learning Data Science , and kindly contributed to R-bloggers) On va dans ce post, illustrer une utilisation simple des packages twitteR, StreamR, tm qui permettent faire du textmining. En réalité, les deux premiers permettent de récuperer les tweets et de faire des comptages simples et complexes et le dernier permet de faire du...

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2D plot with histograms for each dimension (2013 edition)

April 22, 2013
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2D plot with histograms for each dimension (2013 edition)

In 2009, I wrote about a way to show density plots along both dimensions of a plot. When I ran the code again to adapt it to a new project, it didn't work because ggplot2 has become better in the meantime. Below is the updated code. Using the gridExtra...

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Using data.table for binning

Using data.table for binning

I discovered the impressive data.table package more than a year ago. In order to learn how to use it, I …Continuar leyendo »

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analyze the medical large claims experience study (mlces) with r

April 21, 2013
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not a survey, not even remotely current, the society of actuaries' medical large claims experience study (mlces) might be the best private health insurance claims data available to the public.  this data should be used to calibrate other data sets...

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What Is the Probability of a 16 Seed Beating a 1 Seed?

April 21, 2013
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What Is the Probability of a 16 Seed Beating a 1 Seed?

Note: I started this post way back when the NCAA men's basketball tournament was going on, but didn't finish it until now. Since the NCAA Men's Basketball Tournament has moved to 64 teams, a 16 seed as never upset a 1 seed. You might be tempted to say ...

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