Table of contents:
- R-Project Official Sites
- Tutorials and the Basics in R
- R Packages
- R GUIs and editors
- R, Maps, GIS and spatial data
- Data Integration
- Applied R
- R Blogs
- Data Mining
R-Project Official Sites
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The R Project for Statistical Computing
Official Site -
Download R Project
Select a mirror and Download R -
The R Manuals
Official R Project Manuals - The R Wiki
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The R Journal
The R Journal is the open access, refereed journal of the R project for statistical computing. It features short to medium length articles covering topics that might be of interest to users or developers of R
Tutorials and the Basics in R
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An Introduction to R
Notes on R: A Programming Environment for Data Analysis and Graphics -
Using R for Data Analysis and Graphics: Introduction, Code and Commentary
By J H Maindonald, Centre for Mathematics and Its Applications, Australian National University. -
A Brief Guide to R for Beginners in Econometrics
Mahmood Arai Department of Economics, Stockholm University -
R Data Analysis Examples with annotation
Compares approaches with other statistical packages including Stata, SAS, SPSS, Mplus, G*Power and Sample_Power -
Introduction to the R Project for Statistical Computing for use at ITC
Tutorial with useful info on plots -
Quick-R Website
R is an elegant and comprehensive statistical and graphical programming language. Unfortunately, it can also have a steep learning curve. I created this website for both current R users, and experienced users of other statistical packages (e.g., SAS, SPSS, Stata) who would like to transition to R. My goal is to help you quickly access this language in your work. - Quick-R: Advanced statistics
- R Tutorials from Universities Around the World
- A tutorial for Lattice
- Multiple tutorials for using ggplot2 and Lattice
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Statistics in R
Beginners notes in French and English - Cheat sheet for R - In English
- Cheat sheet for R - In French
- Rtips
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Resources to help you learn and use R
From UCLA Academic Technology Services - R Fundamentals and Programming Techniques
- John M. Chambers Publications
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University of California (Riverside) R manuals
Simply put, these manuals contain some of the best documentation I have ever seen about how to use R (and Bioconductor). - USING THE R STATISTICAL COMPUTING ENVIRONMENT TO TEACH SOCIAL STATISTICS COURSES
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The R Inferno
If you are using R and you think you're in hell, this is a map for you -
Chart of R Colors
Find the right colours for your charts
R Packages
- Crantastic: a community site for R packages where you can search for, review and tag CRAN packages
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The Omega Project for Statistical Computing - List of R Packages
Packages listed include: RFirefox, RKML, RGoogleStorage, REuPathDB, WADL, RExcelXML, RGoogleDocs, REuPathDB, WADL, SpiderMonkey, ROpenOffice, GeoIP, RGCCTUFFI, RAutoGenRunTime, Rffi, RGCCTranslationUnit, XMLRPC, RCurl, Google Earth plugin and R, RWordpress, XMLRPC, RKMLDevice, RKML, RHTMLForms, RFreetype, RGoogleTrends, RTidyHTML, RNYTimes, REST-related packages, RAmazonDBREST, RDocbook, XMLRPC, RExcelXML, RUbigraph, RKML, R2GoogleMaps, RJavaScript, RAmazonS3, RRuby, Rcrypt, RGraphicsDevice, FlashMXML, XMLSchema, SSOAP, XML, RCurl, Rcompression package, Sxslt package, SJava, Rexif, CGIwithR, Aspell, RDCOMEvents, Combinations, RMatlab, RCurl, Rstem, IDocs, XSL files for Omegahat, SASXML, RDCOMServer, RDCOMClient, RGnomePrint, GccTranslationUnit, SWinTypeLibs, SWinRegistry, S language binding to the gtk+extra library. , S language binding to the Gdk pixbuf library. , S language binding to the Glade library. , A plugin event-loop for R. , S language binding generator for Gtk-based libraries. , R/SPlus XML Parsing package, RGtk package , An R-XLisp interface , RObjectTables package , RGtkViewers package, RSMethods, RSPython, RSPerl, RGnumeric, R embedded in Xalan, the XSL translator, R Plugin for Netscape -
Rob J Hyndman - List of R Packages
Packages listed include: FPP, Demography, hts, ftsa, fts, expsmooth, Mcomp, fma, forcast and rainbow. -
plyr - The split-apply-combine strategy for R
plyr is a set of tools for a common set of problems: you need to split up a big data structure into homogeneous pieces, apply a function to each piece and then combine all the results back together. -
The quantmod package
The quantmod package for R is designed to assist the quantitative trader in the development, testing, and deployment of statistically based trading models. - Rattle: A Graphical User Interface for Data Mining using R
- eBook - Data mining with R: Learning with case studies
- Introduction to the Text Mining package in R
- Ggplot R graphics
- Ggplot Vs Lattice
- PMML: An Open Standard for Sharing Models
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CGIwithR package
This package allows one to use R scripts as CGI programs for generating dynamic Web content. HTML forms and other mechanisms to submit dynamic requests can be used to provide input to R scripts via the Web to create content that is determined within that R script - XML: Tools for parsing and generating XML within R and S-Plus
- RKWard, improved package management, and more
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GRaF: Species distribution modelling using latent Gaussian random fields
Functions to fit, visualise and compare Gaussian Random Field species distribution models
R GUIs and editors
- R Commander is a robust GUI for R
- Poor Man GUI for R
- JGR is a Java-based GUI for R
- Tinn-R makes for a good R editor
- An Eclipse plugin for R
- Instructions to install StatET in Eclipse
- Komodo Edit R editor
- Red-R: A open source visual programming GUI interface for R
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RM4Es Version 0.2
With the RM4Es version 0.2, you can conduct advanced linear regression, logistic regression and structural equation modelling as easy as doing a few clicks. -
Welcome to RStudio
RStudio is a free and open source integrated development environment (IDE) for R.
R, Maps, GIS and spatial data
- Spatial-Analyst.net
- Thematic Maps with R
- Geographic maps in R
- RGoogleMaps package
- Google Charts with R: Maps
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EDENext sample r-scripts
Includes info on Shapefiles and Projections in R, and scripts on: Multiple Euclidean Distance Calculator; Decimal Degrees to Degree Minute Seconds (DMS) Converter
Data Integration
- A tool to make R usable from Excel
- Embed R data frames in Excel via multiple approaches
- Connect to MySQL from R using RMySQL package
- Info about pulling data from SAS, STATA, SPSS, etc into R
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Sweave is a tool that allows to embed the R code for complete data analyses in latex documents
To create dynamic reports, which can be updated automatically if data or analysis change. Instead of inserting a prefabricated graph or table -
R2HTML project
R2HTML is a package for R, which includes HTML function and methods to output R objects to HTML.
Applied R
- Time Series Analysis and Its Applications: With R Examples: Third Edition
- Has lecture notes with R code A brief guide to R and Economics
- Advanced Topics in Time SeriesEconometrics Using R
- Guide to Credit Scoring using R
- Social Network Analysis using R
- Web Scraping in R
- Revolution Computing: Commercial versions of R
- R Graphical Manual
- The [r] tag on Stack Overflow
- R-Statistics component collection for Pipeline Pilot
- Journal of Statistical Software
- For Bioinformatics in R, check out the Bioconductor project
- Social Network Analysis Labs in R and SoNIA
- CRAN Task View: Computational Econometrics
- RSeek: search engine for R functions, lists and more
R Blogs
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R-bloggers
R news and tutorials contributed by (320) R bloggers (consolidated blog) -
R you ready
Mark Heckmann's personal R learning blog -
Learning R
Finding my way around R - Romain Francois' R Blog
- One R Tip A Day
- Win-Vector R Articles
Data Mining
- Data Mining Tools comparison blog post
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KNIME (Konstanz Information Miner)
A user-friendly and comprehensive open-source data integration, processing, analysis, and exploration platform. - RapidMiner
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Elefant (Efficient Learning, Large-scale Inference, and Optimisation Toolkit)
An open source library for machine learning -
Orange
Open source data visualization and analysis for novice and experts. Data mining through visual programming or Python scripting. - Poll on Data mining tools used from KD nuggets
Many thanks to the LinkedIn R-Project User Group and specifically Harsh Singhal who provided the original list of links for which we have updated and added to.