Description
R Programming provides a comprehensive guide to the world’s most popular language for statistical computing and data analysis. The book explains fundamental programming concepts like data types, vectors, functions, and control structures from the ground up. It shows how to import, clean, manipulate, and visualize data using powerful tools like the tidyverse and ggplot2. This text equips students with practical skills for statistical modeling, hypothesis testing, and creating publication-quality graphics. It also covers advanced techniques including web scraping, parallel computing, and dynamic reporting with RMarkdown and Shiny for professional data science workflows.
