1447 search results for "tutorial"

The R Backpages

November 7, 2013
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The R Backpages

by Joseph Rickert As an avid newspaper reader (I still get the print edition of the New York Times delivered every Sunday morning) I have always thought that some of the most interesting news is to be found in the back pages. So, in that spirit here are some things that I thought might be fit to print. Plotly...

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Databases for text analysis: archive and access texts using SQL

November 7, 2013
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This post is a collection of scripts I've found useful for integrating a SQL database into more complex applications. SQL allows quickish access to largish repositories of text (I wrote about this at some length here), and are a good starting point for...

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Strata + Hadoop World 2013 Recap

November 4, 2013
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Strata + Hadoop World 2013 Recap

We're back from NYC after a very busy Strata + Hadoop World 2013 conference. Many thanks to all the friendly folks who dropped by the Revolution Analytics booth, attended Joe and Antonio's R and Hadoop tutorial, or simply came up to say hello during the event. It was a jam-packed conference, literally standing room only at many times, so...

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Generating d3js Motion Charts from rCharts

November 4, 2013
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Generating d3js Motion Charts from rCharts

Remember Gapminder, the animated motion chart popularised by Hans Rosling in his TED Talks and Joy of Stats TV programme? Well it’s back on TV this week in Don’t Panic – The Truth About Population, a compelling piece of OU/BBC co-produced stats theatre featuring Hans Rosling, and a Pepper’s Ghost illusion brought into the digital

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analyze the american national election studies (anes) with r

November 4, 2013
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on election days in the united states, the news media peppers its coverage with quick, dirty exit polls that allow them to make coarse statements like, "x% of demographic group y voted for candidate z."  the american national election studies are ...

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Finding R in a Hadoop World

October 31, 2013
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Finding R in a Hadoop World

by Joseph Rickert The following is a brief report of all things R encountered in my not quite random, but nevertheless far from determined, walk through the O'Reilly Strata / Hadoop World Conference held this week in NYC. To start off, I had the pleasure of doing a 9:00 AM Monday morning joint tutorial with Antonio Piccolboni, the principal...

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How to switch from spreadsheets to R for data analysis

October 25, 2013
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To take a spreadsheet beyond what it's designed for — data presentation, summarization and simple calculations — into the world of complex data analysis can be an alluring prospect. But it can also be dangerous: consider these examples of spreadsheet errors that led to monumental financial losses, mistaken government policies, and even the wrong drugs being given to cancer...

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Creating an Open Source Revolution in Computational Proteomics

October 24, 2013
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Creating an Open Source Revolution in Computational Proteomics

First of all, I don’t want to discuss in this post about Open-Source, its strengths & strengths. This post is about the most useful Open-Source packages, frameworks or libraries in the field of computational proteomics (a short version of our manuscript “Open source libraries and frameworks for Mass Spectrometry based Proteomics: A developer’s perspective”). 

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The joy of data analysis

October 24, 2013
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The joy of data analysis

Music and snow. Poke my eyes out Perhaps your immediate response is: “I’d rather poke my eyes out with a burning stick than do data analysis.” There’s a completely different reaction from a lot of people who have experienced data analysis. Music It’s not entirely clear why humans like music so much. Part of it The post The...

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My experience of learning R – from basic graphs to performance tuning

October 23, 2013
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My experience of learning R – from basic graphs to performance tuning

BackgroundR as some of you may know is a statistical and graphics programming language (see Wikipedia ) used by academia and recently by IT professionals of our ever growing software industry. There is a sudden demand for Data Scientists, Data Analysts and Statisticians with a background in R among other things data and development related subjects. I have...

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