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R is a programming language for statistical computing and data visualization. It has been widely adopted in the fields of data mining, bioinformatics, data analysis, and data science. [9] The core R language is extended by a large number of software packages, which contain reusable code, documentation, and sample data. Some of the most popular R packages are in the tidyverse collection, which enhances functionality for visualizing, transforming, and modelling data, as well as improves the ... Learn R Programming Welcome to the learn- r .org interactive R tutorial with Examples and Exercises. If you want to learn R for statistics, data science or business analytics, either you are new to programming or an experienced programmer this tutorial will help you to learn the R Programming language fast and efficient. R is a programming language used extensively for statistics and statistical computing, data science and business analytics. There are different libraries in R which are used ... Patches to this release are incorporated in the r -patched snapshot build. A build of the development version (which will eventually become the next major release of R ) is available in the r -devel snapshot build. R is a programming language and software environment that has become the first choice for statistical computing and data analysis. Developed in the early 1990s by Ross Ihaka and Robert Gentleman, R was built to simplify complex data manipulation and create clear, customizable visualizations.
