1480 search results for "tutorial"

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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An introduction to Econometrics, using R

October 22, 2013
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If your econometrics is a bit rusty and you're also looking to learn the R language, you can kill two birds with one stone with Introductory Econometrics using Quandl and R. The first three parts of this seven-part tutorial introduces the basics of regression analysis, while the remaining sections provide R code you can try yourself to reproduce econometric...

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Build your own Twitter Archive and Analyzing Infrastructure with MongoDB, Java and R [Part 1] [Update]

October 22, 2013
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Build your own Twitter Archive and Analyzing Infrastructure with MongoDB, Java and R [Part 1] [Update]

UPDATE: The JAVA script is now also available with the streaming API. You can find the script on my github account Hey everybody, you sure know the problems which appear when you want to work with the Twitter API. Twitter created a lot of different restrictions minimizing the fun of the Data Mining process. Another …

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R package for effect size calculations for psychology researchers

October 19, 2013
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Dan Gerlanc writes: I read your post the other day on helping psychologists do research and thought you might be interested in our R package, “bootES”, for robust effect size calculation and confidence interval estimation using resampling techniques. The package provides The post R...

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Introduction to Feature selection for bioinformaticians using R, correlation matrix filters, PCA & backward selection

October 17, 2013
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Introduction to Feature selection for bioinformaticians using R, correlation matrix filters, PCA & backward selection

Bioinformatics is becoming more and more a Data Mining field. Every passing day, Genomics and Proteomics yield bucketloads of multivariate data (genes, proteins, DNA, identified peptides, structures), and every one of these biological data units are described by a number of features: length, physicochemical properties, scores, etc. Careful consideration of which features to select when trying...

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A first step towards R from spreadsheets

October 16, 2013
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A first step towards R from spreadsheets

Move your data analysis to a computing environment specifically designed for it. Why R and not spreadsheets? Here are three reasons: complexity graphics money Spreadsheets are easily overwhelmed.  Very complex things can be done in spreadsheets — it is just that complex spreadsheets are inefficient and dangerous. Graphics should be considered vital when doing anything with The post A...

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Latent Gaussian Models and INLA

October 16, 2013
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Latent Gaussian Models and INLA

If you read my post about Fast Bayesian Inference with INLA you might wonder which models are included within the class of latent Gaussian models (LGM), and can therefore be fitted with INLA. Next I will give a general definition about LGM and later I will describe three completely different examples that belong to this

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In case you missed it: September 2013 Roundup

October 11, 2013
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In case you missed them, here are some articles from September of particular interest to R users: Todd Schneider wrote an algorithm in R to find the "most concave" US state (it's NY), and created an animation to show how it works. Rob Hyndman (of the "forecast" package) describes how R-based forecasting saved the Australian government millions, in a...

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