- Data Structures: R’s foundational data structures include:
- Vectors: The basic building blocks for data in R, which can be numeric, character, or logical.
- Lists: Collections of objects that can be of different types, allowing for flexible data handling.
- Data Frames: A two-dimensional structure similar to tables in databases or spreadsheets, making it ideal for statistical analysis.
- Matrices: Two-dimensional arrays that can contain elements of the same type.
- Statistical Modeling: R excels in statistical modeling, offering a wide range of built-in functions and packages for linear models, generalized linear models, time series analysis, and more.
- Visualization: Beyond ggplot2, R has other visualization tools like lattice and base R plotting functions, allowing for various styles and customization options.
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