Monthly Archives: June 2013

More explorations of Shiny

June 11, 2013
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More explorations of Shiny

I have continued to explore the functionality of the Shiny package released by the Rstudio team and I have been increasingly impressed.  The code fits together very clean and easy to manipulate or add to.  If you have some knowledge of html o...

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Answering “How many people use my R package?”

June 11, 2013
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Answering “How many people use my R package?”

The question “How many people use my R package?” is a natural question that (I imagine) every R package developer asks himself at some point or another. After many years in the dark, a silver lining has now emerged thanks …Read more »

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Rickshaw d3.js from R with rCharts

June 11, 2013
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Shutterstock’s open source Rickshaw provides a very nice tutorial to get started building interactive time series d3.js charts with Rickshaw.  I just could not resist rebuilding the tutorial but this time ENTIRELY in R with the amazing packages slidify and rCharts.  I have embedded the tutorial below,...

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Visualizing densities of spatial processes

June 11, 2013
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Visualizing densities of spatial processes

We recently uploaded on http://hal.archives-ouvertes.fr/hal-00725090 a revised version of our work, with Ewen Gallic (a.k.a. @3wen) on Visualizing spatial processes using Ripley’s correction: an application to bodily-injury car accident location In this paper, we investigate (and extend) Ripley’s circumference method to correct bias of density estimation of edges (or frontiers) of regions. The idea of the method was theoretical...

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Biostatisticians… beware of fuzzy researchers!

June 11, 2013
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Biostatisticians… beware of fuzzy researchers!

In the last days I was thinking about about how researchers could collaborate efficiently with their experts in statistics. With the increasing complexity in science, interchanging information can be crucial to get the best results. But what happens when a … Sigue leyendo →

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Thursday: Webinar on video game analytics

June 11, 2013
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Video games are big business today: Electronic Arts (EA) generated more than 4 billion dollars in revenue last year, and they're not even the biggest player on the block. In addition to big bucks, video games also generate Big Data: 50 terabytes per day at EA alone. So there's an obvious need to apply predictive analytics to these massive...

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R2leaflet (v0.1) – make interactive online maps from R

June 11, 2013
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R2leaflet (v0.1) – make interactive online maps from R

I have been working on a simple R function to take latitude and longitude of points of interest, and text for pop-up labels, and produce an interactive online map. Interactive graphics are incredibly useful in getting people interested in your … Continue reading →

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Finally! Tracking CRAN packages downloads

June 11, 2013
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Finally! Tracking CRAN packages downloads

The guys from RStudio now provide CRAN download logs (see also this blog post). Great work! I always asked myself, how many people actually download my packages. Now I finally can

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R package development

June 11, 2013
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R package development

Building R packages is not particular hard, but it can be a bit of a daunting endeavour at the beginning, particularly if you are more of a statistician than a computer scientist or programmer. Some concepts may appear foreign or like red tape, yet man...

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Measures of Skewness and Kurtosis

June 10, 2013
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Measures of Skewness and Kurtosis

Skewness and kurtosis in R are available in the moments package (to install an R package, click here), and these are:Skewness - skewnessKurtosis - kurtosisExample 1. Mirra is interested in the elapse time (in minutes) she spends on riding a tricycle fr...

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