Basic Data Types and Data Structures
R supports various data types and structures for storing and manipulating data. Common data types include numeric, character, logical, and factor. Key data structures include vectors, matrices, arrays, lists, and data frames. Understanding these data types and structures is essential for effective data manipulation and analysis.
How to Code in R programming?
R is a powerful programming language and environment for statistical computing and graphics. Whether you’re a data scientist, statistician, researcher, or enthusiast, learning R programming opens up a world of possibilities for data analysis, visualization, and modeling. This comprehensive guide aims to provide beginners with a solid foundation in R programming, covering essential concepts, syntax, data structures, and common tasks.
Table of Content
- Setting Up R and RStudio
- Environments in R Programming
- Understanding R Syntax
- Basic Data Types and Data Structures
- Working with Vectors and Matrices
- Manipulating Data Frames
- Writing Functions
- Working with External Data
- Practice and Resources
- Conclusion
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