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  1. www.roblox.comRoblox

    Roblox, the Roblox logo and Powering Imagination are among our registered and unregistered trademarks in the U.S. and other countries. Roblox is the ultimate virtual universe that lets you create, share experiences with friends, and be anything you can imagine.

  2. Feb 29, 2024 · 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.

  3. 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.

  4. R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics, and data analysis. The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.

  5. Download R-4.4.1 for Windows (82 megabytes, 64 bit) README on the Windows binary distribution. New features in this version. This build requires UCRT, which is part of Windows since Windows 10 and Windows Server 2016. On older systems, UCRT has to be installed manually from here.

  6. Learn the R programming language in this tutorial course. This is a hands-on overview of the statistical programming language R, one of the most important to...

  7. New features and bug fixes of the latest release version of R are documented in the file NEWS (also contained in the R sources). R-announce Important announcements posted by the R Core Development team:

  8. R is not just a programming language, but it is also an interactive ecosystem including a runtime, libraries, development environments, and extensions. All these features help you think about problems as a data scientist, while supporting fluent interaction between your brain and the computer.

  9. www.coursera.org › learn › r-programmingR Programming | Coursera

    The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.

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