STATS 158: Introduction To R Programming

STATS 158 is an introductory course to R programming language that covers fundamental concepts of data types, data structures, functions, and programming concepts. It is intended for students who have little or no experience with programming or R.

The course covers the following topics:

Introduction to R

Basic data types and data structures in R

Data input and output in R

Control structures in R

Functions and programming concepts in R

Plotting and visualization in R

Data manipulation with dplyr and tidyr

Statistical inference and hypothesis testing in R

The course is designed to teach students how to use R for data analysis, visualization, and statistical inference. It emphasizes practical applications of R and encourages students to apply the concepts learned in class to real-world problems.

Students are expected to complete assignments and a final project to demonstrate their understanding of the material covered in the course. The final project involves working with a dataset of their choice and applying the concepts learned in class to analyze and visualize the data.

By the end of the course, students should be able to:

Use R to read, manipulate, and analyze data

Create and customize plots and visualizations in R

Understand basic statistical concepts and perform hypothesis testing in R

Write functions and use control structures in R

Use packages such as dplyr and tidyr to manipulate and transform data

Apply the concepts learned in class to real-world problems and datasets

Overall, STATS 158 provides a solid foundation for students interested in data analysis and statistical programming using R.