This course aims to teach learners the fundamentals of using R programming language. By the end of the course, students will be able to perform calculations, work with different data structures like vectors, matrices, arrays, lists, and data frames, utilize built-in and user-written functions, handle complex numbers and character strings, understand logical elements and relational operators, create high-level and custom graphics, work with probability and statistics, and explore linear algebra concepts. The course follows a structured approach with chapters dedicated to each topic, combining theoretical knowledge with practical exercises. This course is designed for beginners who are interested in learning R programming for data analysis and statistical computing.
Overview
Syllabus
R as a Calculator --- Chapter 2.
Simple Objects --- Chapter 3.
Vectors --- Chapter 4.
Vectors --- Chapter 4.
Matrices --- Chapter 5.
Matrices --- Chapter 5.
Arrays --- Chapter 6.
Built-in Functions --- Chapter 7.
Built-in Functions ---Chapter 7.
Built-in Functions --- Chapter 7.
Built-in Functions --- Chapter 7.
Built-in Functions --- Chapter 7.
Built-in Functions --- Chapter 7.
User-written Functions --- Chapter 8.
User-written Functions --- Chapter 8.
User-written Functions --- Chapter 8.
Utlities --- Chapter 9.
Complex Numbers --- Chapter 10.
Character Strings --- Chapter 11.
Character Strings --- Chapter 11.
Logical Elements --- Chapter 12.
Relational Operators --- Chapter 13.
Coercion --- Chapter 14.
Lists --- Chapter 15.
Data Frames --- Chapter 16.
Built-in Data Sets --- Chapter 17.
Input / Output --- Chapter 18.
Probability --- Chapter 19.
High-Level Graphics --- Chapter 20.
Custom Graphics --- Chapter 21.
Custom Graphics --- Chapter 21.
Custom Graphics --- Chapter 21.
Conditional Execution --- Chapter 22.
Conditional Execution --- Chapter 22.
Iteration --- Chapter 23.
Iteration --- Chapter 23.
Iteration --- Chapter 23.
Recursion --- Chapter 24.
Simulation --- Chapter 25.
Simulation --- Chapter 25.
Simulation --- Chapter 25.
Statistics --- Chapter 26.
Statistics --- Chapter 26.
Statistics --- Chapter 26.
Linear Algebra --- Chapter 27.
Packages --- Chapter 28.
Packages --- Chapter 28.
Taught by
Lawrence Leemis
