1244 search results for "tutorial"

Sentiment Analysis for Airlines via Twitter

July 5, 2011
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Sentiment Analysis for Airlines via Twitter

Last weekend here in the states was the 4th of July long weekend, one of the busier air travel days of the year. As anyone who flies in the States knows, with air travel often comes frustration, and in this social media age many express their frustration on Twitter: The image above comes from a tutorial on text mining...

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In 4 Steps your Application (including R) is running on a Cloud Computing Cluster

In 4 Steps your Application (including R) is running on a Cloud Computing Cluster

Today, cloud computing is used in many application areas from academic research to industry. Commercial cloud providers as Amazon Web Services (AWS) advertise the simple and fast access to cloud computing resources. Posts in different blogs proof that you can get your application running in the cloud, but it will cost you more than 15

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Learning SAS

July 3, 2011
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Learning SAS

I want to learn the heavy-weight of Statistical softwares - SAS. It seems like the default choice for high-end statistics and I want to understand why.I'm working in the healthcare practice in our firm and want to analyze claims and credit data (Teraby...

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Stata 12 embraces structural equation models

June 28, 2011
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Stata 12 embraces structural equation models

Stata 12 has just been announced. The software will start shipping by the end of July.  A key new feature introduced in the new version is the module for structural equation models (SEM), a staple tool in marketing, psychology, and several other research disciplines.LISREL and AMOS have...

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Drawing heatmaps in R

June 24, 2011
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Drawing heatmaps in R

A while back, while reading chapter 4 of Using R for Introductory Statistics, I fooled around with the mtcars dataset giving mechanical and performance properties of cars from the early 70's. Let's plot this data as a hierarchically clustered heatmap. # scale data to mean=0, sd=1 and convert to matrix mtscaled <- as.matrix(scale(mtcars)) # create...

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sab-R-metrics: Merging Data Sets

June 22, 2011
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I am finally back from Greece and recovered from jet lag. Fortunately, I did not get tear gassed while in Athens, though there were riot police everywhere the whole time we visited. Today, I'm going to start getting my feet wet again with a shorter s...

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R in the Bioinformatics Knowledgeblog

June 21, 2011
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The Knowledge Blog progect is a new, light-weight way of publishing scientific, academic and technical knowledge on the web, across several scientific disciplines. One such discipline is bioinformatics, and the Bioinformatics Knowledgeblog contains useful scientific reference material for bioinformatics, including several resources for R users. There you'll find an R Guide for Complete Beginners, a tutorial on analyzing microarray...

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Calling R lovers and bloggers – to work together on “The R Programming wikibook”

June 20, 2011
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Calling R lovers and bloggers – to work together on “The R Programming wikibook”

This post is a call for both R community members and R-bloggers, to come and help make The R Programming wikibook be amazing. The R Programming wikibook is not just another one of the many free books about statistics/R, it is a community project which aims to create a cross-disciplinary practical guide to the R programming language.  Here is

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Summer school in Gran Paradiso

June 19, 2011
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Summer school in Gran Paradiso

The Parco Nazionale Gran Paradiso and the Università di Pavia are organising a summer school on “Advances in species distribution modelling in ecological studies and conservation” in Pavia and Cogne, 12-18 September 2011. This school includes R and Winbugs tutorials, regular classes, plus a field trip to the park, so this sounds quite exciting (at

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Efficient loops in R — the complexity versus speed trade-off

June 18, 2011
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I've written before about the up- and downsides of the plyr package -- I love it's simplicity, but it can't be mindlessly applied, no pun intended. This week, I started building a agent-based model for a large population, and I figured I'd use something like a binomial per-timestep birth-death process for between-agent connections. My ballpark...

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