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The description on the main R web page is good, and needn’t be repeated here; it describes a bit about R’s history and technical capabilities. Some things you might want to know about R if you’re encountering it for the first time: R is (according to the description linked above) “a language and environment for statistical computing and graphics”; you can think of it as a combination of a statistics package and a programming language. R is completely free ; you don’t have to pay for it, and you can make any modifications you want to it R runs on Windows, MacOS, Linux, and many Unix variants R is not supported by any commercial enterprise, but it has a very active development community, and there are companies that offer training courses etc.. http://rwiki.sciviews.org/doku.php?id=getting-started:what-is-r:what-is-r

getting-started:what-is-r:what-is-r [R Wiki]

Clustergram: A graph for visualizing cluster analyses (R code) | R-statistics blog

http://www.r-statistics.com/2010/06/clustergram-a-graph-for-visualizing-cluster-analyses-r-code/ Upgrading R on Windows is not easy. While the R FAQ offer guidelines , some users may prefer to simply run a command in order to upgrade their R to the latest version. That is what the new {installr} package is all about. The { installr } package offers a set of R functions for the installation and updating of software (currently, only on Windows OS), with a special focus on R itself. To update R, you can simply run the following code:
http://jeromyanglim.blogspot.com/2010/05/abbreviations-of-r-commands-explained.html The R programming language includes many abbreviations. Abbreviations exist in function names, argument names, and allowed values for arguments. This post expands on over 150 R abbreviations with the aim of making it easier for users new to R who are trying to memorise R commands. Context Abbreviations save time when typing and can make for less cumbersome code.

150+ R Abbreviations

start [R-Node]

Writing /var/www/r-node/data/cache/2/2d54f1d82cf67432cd4c82a000527112.i failed Unable to save cache file. Hint: disk full; file permissions; safe_mode setting. Writing /var/www/r-node/data/cache/2/2d54f1d82cf67432cd4c82a000527112.xhtml failed R-Node is a web front-end to the statistical analysis package R . Using this front-end, you can from any web browser connect to an R instance running on a remote (or local) server, and interact with it, similar to how you interact with R through the R console. http://www.squirelove.net/r-node/doku.php?id=start
Introduction yeroon.net/ggplot2 is a web interface for Hadley Wickham's R package ggplot2 . It is used as a tool for rapid prototyping, exploratory graphical analysis and education of statistics and R. http://www.stat.ucla.edu/~jeroen/ggplot2/

yeroon.net/ggplot2

Feb 02 2010 Information graphics , or infographics , are visual representations of information, data or knowledge. The graphics are used where complex information needs to be explained quickly and clearly, such as on signs and maps and in journalism, technical writing and education. http://www.noupe.com/inspiration/stunning-infographics-and-data-visualization.html

Stunning Infographics and Data Visualization

Features Examines R as the medium for scientific computation Demonstrates simple mathematical tools in the context of stochastic modeling

CRC Press Online - Book: Introduction to Scientific Programming and Simulation Using R

http://www.crcpress.com/product/isbn/9781420068726
http://www.crcpress.com/product/isbn/9781420079333 Features Shows how to obtain informative graphical output using R Provides R code so readers can perform their own analyses Emphasizes the practical application and interpretation of results rather than focusing on the theory behind the analyses

CRC Press Online - Book: A Handbook of Statistical Analyses Using R, Second Edition

Talks

C++ for R Programmers Invited Session on Other Languages for R Programmers at useR! 2012 , Vanderbilt University, Nashville, TN, June 12, 2012. Pdf version of presentation slides Rcpp Workshops at useR! http://dirk.eddelbuettel.com/presentations.html

The Free Statistics Calculators Website - Home

http://www.danielsoper.com/statcalc3/default.aspx Welcome to version 3.0 of the Free Statistics Calculators website! These statistics calculators are free to be used by anyone in the research community at large. They are offered humbly in the hope that they will contribute in some small way to the advancement of science and the betterment of mankind. I hope you find them useful! The statistics calculators are organized into the 28 categories shown below.
This Sample Size Calculator is presented as a public service of Creative Research Systems survey software . You can use it to determine how many people you need to interview in order to get results that reflect the target population as precisely as needed. You can also find the level of precision you have in an existing sample. Before using the sample size calculator, there are two terms that you need to know. These are: confidence interval and confidence level .

Sample Size Calculator - Confidence Level, Confidence Interval, Sample Size, Population Size, Relevant Population - Creative Research Systems

IDE/Script Editors

Except for the MacOS and Windows versions of R frontends, no internal script editor is provided. The command 'options(editor = ...)' allows defining its own preferred external one. Several editors have been customized to enhance their functions regarding the edition of R scripts: S language syntax highlighting, execution of code directly from the editor, macro and templates,... Here are some external editors with nice features for editing R scripts besides Emacs/ESS .

PSPP

PSPP is a program for statistical analysis of sampled data. It is a Free replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions. The most important of these exceptions are, that there are no “time bombs”; your copy of PSPP will not “expire” or deliberately stop working in the future. Neither are there any artificial limits on the number of cases or variables which you can use. There are no additional packages to purchase in order to get “advanced” functions; all functionality that PSPP currently supports is in the core package.
What are the main SOCR Components? The core SOCR educational and computational components include: Distributions (interactive graphs and calculators), Experiments (virtual computer-generated analogs of popular games and processes), Analyses (collection of common web-accessible tools for statistical data analysis), Games (interfaces and simulations to real-life processes), Modeler (tools for distribution, polynomial and spectral model-fitting and simulation), Graphs, Plots and Charts (comprehensive web-based tools for exploratory data analysis), Additional Tools (other statistical tools and resources), SOCR Wiki (collaborative Wiki resource), Educational Materials and Hands-on Activities (varieties of SOCR educational materials), SOCR Statistical Consulting and Statistical Computing Libraries . How to use the SOCR Resources? There are three major types of SOCR users: educators, students and tool developers.

SOCR: Statistics Online Computational Resource