Dive into an 8-hour comprehensive tutorial on Base R programming, covering essential topics from basic calculations to advanced statistical analysis. Master R's fundamental concepts, including vectors, matrices, arrays, and built-in functions. Explore user-written functions, utilities, and complex data types such as character strings and logical elements. Learn data manipulation techniques with lists and data frames, and discover how to work with built-in datasets. Develop skills in input/output operations, probability calculations, and data visualization using high-level and custom graphics. Gain proficiency in conditional execution, iteration, recursion, and simulation techniques. Delve into statistical analysis and linear algebra applications. Finally, understand how to leverage R packages to extend functionality and streamline your data analysis workflows.