The R Foundation was founded by the members of the R Core Team to

1. Provide support for the R project and other innovations in statistical computing;
2. Provide a reference point for individuals, institutions or commercial enterprises that want to support or interact with the R development community, and
3. Hold and administer the copyright of R software and documentation. 

Among the goals of the R Foundation are the support of continued development of R, the exploration of new methodology, teaching and training of statistical computing and the organization of meetings and conferences with a statistical computing orientation.

The R Foundation for Statistical Computing

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President

Anson Lang

Owner/President

Cody Thoman

Co-Owner, Speaker, Trainer

Dianah Dulany

Ginger Nims

Owner

Mark Moragne

Chief Strategy Officer, Partner

Matthew Mason

President/CEO

Randall Noddings

Renee Mussington

Owner/General Manager

Rex Wilson

Rick Natale

Midwestern US Companies With Fewer Than 50 Employees (Top 10K)

Indianapolis Companies

Indiana Companies With Less Than $500M in Revenue (Top 10K)

Great Lakes Companies With Fewer Than 10 Employees (Top 10K)

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.


R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.


One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control.

Indianapolis

Indiana

United States

North America

The R Foundation

R Consortium Community Grants and Sponsorships Top USD $1,000,000

China

Asia

Kenya

Africa

United Kingdom

Europe

Brazil

South America

Python is a popular open-source programming language widely used for statistical computing and data analysis.

Python

Matlab is a high-level programming language and interactive environment for numerical computation, visualization, and programming.

Matlab

SAS is a software suite developed for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics.

JMP is a statistical software for dynamic data visualization and exploration, and it offers advanced analytics and predictive modeling.

Minitab is a statistical software for quality improvement and statistics education, offering tools for data analysis, visualization, and predictive analytics.

Minitab

The R Project is a collaborative project that provides a free software environment for statistical computing and graphics. It is widely used among statisticians and data miners for data analysis and developing statistical software.

The R Project

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ORG:R-PROJECT

The R Project