2508 search results for "ggplot2"

2014 UseR conference, days 1-2

July 2, 2014
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2014 UseR conference, days 1-2

I’m at UCLA for the UseR Conference. I attended once before, and I really enjoyed it. And I’m really enjoying this one. I’m learning a ton, and I find the talks very inspiring. In my comments below, I give short shrift to some speakers (largely by not having attended their talks), and I’m critical in

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Frequentist inference only seems easy

July 1, 2014
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Frequentist inference only seems easy

Two of the most common methods of statistical inference are frequentism and Bayesianism (see Bayesian and Frequentist Approaches: Ask the Right Question for some good discussion). In both cases we are attempting to perform reliable inference of unknown quantities from related observations. And in both cases inference is made possible by introducing and reasoning over Related posts:

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How To Approximate Pi With A Short Pencil And A Big Paper

July 1, 2014
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How To Approximate Pi With A Short Pencil And A Big Paper

Experiment, be curious: though interfering friends may frown, get furious at each attempt to hold you down (Tony Bennett, Experiment) Instructions: Take a pencil and measure it Take a piece of paper and draw parallel lines on it (you can use the pencil, of course); separation between lines should double the length of the pencil Toss the pencil

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Jun 26-27, 2014 – Introduction to Data Science with R in NYC

June 26, 2014
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Jun 26-27, 2014 – Introduction to Data Science with R in NYC

You can either register from eventbrite or our school site NYC Data Science Academy. Date: Thursday/Friday , June 26th and 27th, 2014 Time:  9:00am to 5:00pm Location: 500 7th Ave, 17th Floor, glass door classroom, New York, NY 10018 NYC Data Science Academy, training subbrand of SupStat (Official Training partner with RStudio Inc) is hosting our... Read more »

What Would Cohen Have Titled “The Earth is Round (p < .05)” in 2014?

June 25, 2014
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What Would Cohen Have Titled “The Earth is Round (p < .05)” in 2014?

The area of bibliometrics is not my area of expertise but is still of interest as a researcher. I sometimes think about how Google has impacted the way we title articles. Gone are the days of witty, snappy titles. Title … Continue reading →

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Bedtools tutorial from 2013 CSHL course

June 24, 2014
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Bedtools tutorial from 2013 CSHL course

A couple of months ago I posted about how to visualize exome coverage with bedtools and R. But if you're looking to get a basic handle on genome arithmetic, take a look at Aaron Quinlan's bedtools tutorials from the 2013 CSHL course. The tutorial uses ...

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Introducing ggvis

June 23, 2014
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Introducing ggvis

Our first public release of ggvis, version 0.3, is now available on CRAN. What is ggvis? It’s a new package for data visualization. Like ggplot2, it is built on concepts from the grammar of graphics, but it also adds interactivity, a new data pipeline, and it renders in a web browser. Our goal is to

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Deploying a scoring engine for predictive analytics with OpenCPU

June 23, 2014
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Deploying a scoring engine for predictive analytics with OpenCPU

TLDR/abstract: See the tvscore demo app or this jsfiddle for all of this in action. This post explains how to use the OpenCPU system to setup a scoring engine for calculating real time predictions. In our example we use the predict.gam function from the mgcv package to make predictions based...

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Gender gap and visualisation challenge @ useR!2014

June 20, 2014
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Gender gap and visualisation challenge @ useR!2014

7 days to go for submissions in the DataVis contest at useR!2014 (see contest webpage). Note that the contest is open for all R users, not only conference participants. Submit your solution soon! PISA dataset allows to challenge some ,,common opinions”, like are boys or girls better in math / reading. But, how to compare

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Shiny 0.10

June 20, 2014
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Shiny 0.10

Shiny 0.10 is now available on CRAN. Interactive documents In this release, the biggest changes were under the hood to support the creation of interactive documents. If you haven’t had a chance to check out interactive documents, we really encourage you to do so—it may be the easiest way to learn Shiny. New layout functions

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