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R Packages

R packages are collections of functions, data, and documentation that extend the capabilities of the R programming language for statistical computing and data analysis. They provide reusable code for specific tasks such as data manipulation, visualization, machine learning, and domain-specific applications, and are managed through repositories like CRAN (Comprehensive R Archive Network).

Also known as: R libraries, CRAN packages, R modules, R extensions, R pkgs
🧊Why learn R Packages?

Developers should learn and use R packages to efficiently perform complex statistical analyses, data visualization, and reproducible research in fields like data science, bioinformatics, and finance. They are essential for leveraging community-developed tools to handle tasks such as linear modeling with 'lm()' extensions, plotting with ggplot2, or machine learning with caret, saving time and ensuring robust implementations.

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