- 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
- R (programming language) - Wikipedia
R is free and open-source software distributed under the GNU General Public License [3][11] The language is implemented primarily in C, Fortran, and R itself Precompiled executables are available for the major operating systems (including Linux, MacOS, and Microsoft Windows)
- The Comprehensive R Archive Network
R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc
- What is R? - An Introduction to The Statistical Computing Powerhouse . . .
R is a statistical programming tool that’s uniquely equipped to handle data, and lots of it Wrangling mass amounts of information and producing publication-ready graphics and visualizations is easy with R So are all sorts of data analysis, mining, and modeling tasks
- LEARN R [Introduction, Data Structures, Data . . . - R CODER
This course is a set of tutorials sorted by category in which you will learn all the basics (and some more advanced content) to handle the R programming language
- Home - RDocumentation
Easily search the documentation for every version of every R package on CRAN and Bioconductor
- What is R in Programming? (Definition, Uses, Difficulty) | Built In
R is a free, open-source programming language used for statistical analysis and data visualization Popular in data science, R offers powerful tools for modeling, plotting, and working with large data sets across research and industry
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