1799 search results for "tutorial"

Meta-analysis methods when studies are not normally distributed

June 10, 2014
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Meta-analysis methods when studies are not normally distributed

Yesterday I was reading Kontopantelis & Reeves’s 2010 paper “Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: A simulation study“, which compares fixed-effects and a variety of random effects models under the (entirely realistic) situation … Continue reading →

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In case you missed it: May 2014 Roundup

June 9, 2014
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In case you missed them, here are some articles from May of particular interest to R users: Karl Broman's hipsteR guide lists some new(ish) features of R that early adopters may have missed. Joseph Rickert reviews the R/Finance 2014 conference and summarizes the R packages presented there. Plus, a review of R's impact on computational finance, with links to...

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Deep Learning at Stanford

June 5, 2014
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Deep Learning at Stanford

by Joseph Rickert Last week,I had the opportunity to participate in the Second Academy of Science and Engineering (ASE) Conference on Big Data Science and Computing at Stanford University. Since the conference was held simultaneously with the two other conferences, one on Social Computing and the other on Cyber Security, it was definitely not an R crowd, and not...

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useR! 2014 conference update

June 2, 2014
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The useR! 2014 conference promises to be the biggest yet, with more than 500 registrations already. But there's room for plenty more R users! Check out the update from the organizing committer below, and if you haven't already done so, register for the conference at the useR! 2014 website. We are exactly one month away from the useR! 2014...

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Phylogenies in R and Python

June 2, 2014
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Phylogenies in R and Python

One of the reasons I switched to Python from R is because Python’s phylogenetic capabilities are very well developed, but R is catching up. I’m moving into phylogenetic community ecology, which requires a lot of tree manipulation and calculation of … Continue reading →

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Portraying Your Field Sites to Others and Your Future Self Part 1: Little Planets

May 30, 2014
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Portraying Your Field Sites to Others and Your Future Self Part 1: Little Planets

I have been experimenting recently with using my relatively inexpensive camera to capture the feeling or sense of a place I am in, with an eye towards collecting a record of field sites in my ecological work. The key is for it to be more immersive th...

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Step-by-Step Guide to Setting Up an R-Hadoop System

May 30, 2014
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Step-by-Step Guide to Setting Up an R-Hadoop System

by Yanchang Zhao RDataMining.com Following my first R-Hadoop system setup guide written in Sept 2013, I have further tested setting up a Hadoop system for running R code, as well as using HBase. I have tested it both on a … Continue reading →

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Visualize Your Foursquare Check-ins with R

May 29, 2014
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Visualize Your Foursquare Check-ins with R

You can use this tutorial in the ThinkToStartR package with: token <-ThinkToStart(“Foursquare_auth”,app_name=”R_Test”,app_id=”XXX”,app_secret=”XXX”) map <- ThinkToStart(“Foursquare_map”,token) Hey R-Fans! You sure all heard of Foursquare. It has more than 45 million users but it´s potential is not recognized by much people. So today I want to show you how easy it is to get your check-in history and visualize …

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R / Finance 2014: Packaged Takeaways

May 29, 2014
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R / Finance 2014: Packaged Takeaways

by Joseph Rickert I was very happy to have been able to attend R / Finance 2014 which wrapped up a couple of weeks ago. In general, the talks were at a very high level of play, some dealing with brand new ideas and many presented at a significant level of technical or mathematical sophistication. Fortunately, most of the...

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Comment sections and help instructions at the Shiny Dev Center

May 28, 2014
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Comment sections and help instructions at the Shiny Dev Center

We’ve added two new features that make it easier to learn Shiny with the Shiny Dev Center. Disqus comments - Each lesson and article on the Dev Center now has its own comments section. Use the comments section to start a discussion or to leave feedback about the articles. How to get help with Shiny –

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