- Roblox
Roblox is the ultimate virtual universe that lets you create, share experiences with friends, and be anything you can imagine Join millions of people and discover an infinite variety of immersive experiences created by a global community!
- The R Project for Statistical Computing
R is a free software environment for statistical computing and graphics It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS To download R, please choose your preferred CRAN mirror
- RStudio Education
No matter how much you know about the R ecosystem already, you’ll always have more to learn At RStudio, we know that everyone is at a different stage in learning the vast ecosystem of R, ranging from rank beginner to seasoned data scientists to professional educators
- An Introduction to R
This is an introduction to R (“GNU S”), a language and environment for statistical computing and graphics R is similar to the award-winning 1 S system, which was developed at Bell Laboratories by John Chambers et al
- CS50s Introduction to Programming with R
An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains Learn to use RStudio, a popular integrated development environment (IDE)
- What is R: Overview, its Applications and what is R used for?
R was developed in 1993 by Ross Ihaka and Robert Gentleman and includes linear regression, machine learning algorithms, statistical inference, time series, and more R is a universal programming language compatible with the Windows, Macintosh, UNIX, and Linux platforms
- R (programming language) - Simple English Wikipedia, the free encyclopedia
The algorithms for many statistical models are devised in R Precisely R is the language of Statistical Analyzers It’s an open source and the best suite for the statisticians to develop statistical softwares
- Getting Help with R
For information on how to ask questions, see, e g , the R mailing list posting guide, and the document about how to create reproducible examples for R on Stack Overflow
|