R is a powerful programming language and software environment for statistical computing and graphics. It is widely used by data miners and statisticians for developing statistical software and data analysis.
Features of R
- Open Source: R is free and open-source software.
- Flexible: R provides a wide range of packages for various statistical methods.
- Extensible: Users can write their own packages and contribute to the R community.
- Graphical Capabilities: R offers a variety of graphing and plotting options.
Getting Started with R
Before you start using R, you need to install it. You can download R from here.
Common R Commands
Here is a list of some common R commands:
help()
: Provides help on functions and objects.data()
: Lists datasets available in R.library()
: Loads additional packages.
Learning Resources
If you are new to R, here are some resources to help you get started:
- R for Data Science: This book by Hadley Wickham is a great introduction to R for data scientists.
- R Programming Tutorial: This website provides a comprehensive tutorial on R programming.
- CRAN Task Views: CRAN provides task views for various R packages.
Conclusion
R is a powerful tool for data analysis and statistical computing. Whether you are a beginner or an experienced user, there are plenty of resources available to help you learn and use R effectively.
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