Guide to Programming and Algorithms Using R

Simple, concise and easy-to-read, with many discussions on common mistakes and answers to questions students may be too embarrassed to ask

Contains instructive practical exercises at the end of each chapter, together with a selection of mini-projects that students may enjoy while programming

Provides R program code for lecturers and instructors at an associated website

When encountering difficult concepts in computer programming for the first time, many students struggle to find simple explanations in their textbooks. Information can also be hard to find on common mistakes made when implementing algorithms and writing programs.

This concise and easy-to-follow textbook/guide provides a student-friendly introduction to programming and algorithms. Emphasis is placed on the threshold concepts that present barriers to learning, including the questions that students are often too embarrassed to ask. The book promotes an active learning style in which a deeper understanding is gained from evaluating, questioning, and discussing the material, and practised in hands-on exercises. Although R is used as the language of choice for all programs, strict assumptions are avoided in the explanations in order for these to remain applicable to other programming languages.

Topics and features:

Provides exercises at the end of each chapter to test the reader’s understanding

Includes three mini projects in the final chapter that students may enjoy while programming

Presents a list of titles for further reading at the end of the book

Discusses the key aspects of loops, recursions, program and algorithm efficiency and accuracy, sorting, linear systems of equations, and file processing

Requires no prior background knowledge in this area

This classroom-tested primer is an essential companion for any undergraduate student approaching the subject of programming and algorithms for the first time, regardless of whether their courses are part of a computer science, electrical engineering, mathematics, or physics degree.