Lectures/ Docs

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An simple R interface to Google Documents An simple R interface to Google Documents An simple R interface to Google Documents This illustrates how to use the code that we put together quite rapidly to communicate with the Google Documents manager. It uses the XML and RCurl packages and illustrates that it is relatively quick and easy to use their primitives to interact with Web services. The first thing to do is login using getGoogleAuth() .
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R-Function to Read Data from Google Docs Spreadsheets
Maps
R-Function to Source all Functions from a GitHub Repository fun_install_github <- function (repo = "theBioBucket-Archives", username = "gimoya", branch = "master") {require(RCurl) message("\nInstalling ", repo, " R-functions from user ", username) R-Function to Source all Functions from a GitHub Repository
R-Function to Source all Functions from a GitHub Repository Here's a function that sources all scripts from an arbitrary github-repository. At the moment the function downloads the whole repo and sources functions kept in a folder named "Functions" - this may be adapted for everyones own purpose. To leave a comment for the author, please follow the link and comment on his blog: theBioBucket*. R-Function to Source all Functions from a GitHub Repository
Embedding a live plot in your website | OpenCPU
Graphics | OpenCPU
Interfacer R et MS Excel Interfacer R et MS Excel Ca y est, l’interface entre R et Excel semble fonctionner. Le programme complet (et un peu lourd) se trouve sur le site http://sunsite.univie.ac.at/. Ce fichier ne contient pas que les outils spécifique à l’interface R-Excel mais aussi par exemple le joli éditeur Tinn-R (dont j’avais parlé dans un ancien billet). L’utilisation est alors très simple (en tous les cas avec Excel 2007). Le add-ins RExcel permet non seulement d’exporter facilement des données Excel sous R (via "Put R Var" dans les menus), mais surtout, au lieu d’utiliser des fonctions VB (limitées), on peut utiliser du code R, soit en tant que macro, soit directement dans les cellules Excel.
Hadoop and R Forecasting By Combining Expert Opinion by Michael Helbraun Michael is member of Revolution Analytics Sales Support team. In the following post, he shows how to synthesize a probability distribution from the opinion of multiple experts: an excellent way to construct a Bayesian prior. Hadoop and R
Facebook's Social Network Graph Facebook's Social Network Graph Paul Butler, an intern on Facebook’s data infrastructure engineering team, was interested in visualizing the "locality of friendship". Luckily, he has some great data to work with: Facebook's social network of the friendships between its 500 million members. But visualizing that much data can be a challenge in its own right -- it takes skill to draw meaning from what could easily be an incomprehensible mess of data.
R graphic used for Facebook IPO R graphic used for Facebook IPO Apparently former Facebook intern, Paul Butler, graphic of the Facebook social network graph is being used for Facebook's IPO. The social network graphic is featured on Page 7 of the IPO filing. His graphic was featured on mashable and R-bloggers not too long ago. The graphic is of Facebook connections between city centers around the world. Paul used an ingenious method of color transparency and great circle arcs to display the social network graph. This is just one of the really cool things you can do with R.
Manipulation de chaînes de caractères avec stringr - Alea
Package stringr
R Programming/Text Processing R Programming/Text Processing This page includes all the material you need to deal with strings in R. The section on regular expressions may be useful to understand the rest of the page, even if it is not necessary if you only need to perform some simple tasks. This page may be useful to : perform statistical text analysis.collect data from an unformatted text file.deal with character variables.

ggplot. had.co.nz

ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and none of the bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered graphics. Documentation ggplot2 documentation is now available at docs.ggplot2.org. ggplot. had.co.nz
Documentation. GGobi data visualization system. Get Started Download GGobi Read the manual (.pdf, 1meg) Here you can find a tutorial to help you navigate your way around the ggobi interface, reading in data, and information about each of the parts of the interface. Learn how to get your data into GGobi (.pdf, 100k) Learn more Check out the ggobi book: "Interactive and Dynamic Graphics for Data Analysis".