R is a popular programming language for statistical computing. In this course, Working with Data Types in R, you will gain foundational knowledge of data types and structures used within R. First, you will learn the basics of understanding what exactly data types and structures are. Next, you will discover how to work with commonly used data types and structures such as vectors, lists, factors, matrices, arrays, and data frames. Finally, you will explore how to compare and contrast these different data types and structures within R. When you’re finished with this course, you will have the skills and knowledge of working with some of the most commonly used data types and structures in R.
Author Name: Justin Flett
Author Description:
Justin Flett is a Mechatronics Engineer currently working as a Professor within the Faculty of Applied Science and Technology at Sheridan College. Justin has previously held positions at Hydro One Networks, Ford Motor Company, and ABB Robotics spanning across both the electrical and mechanical engineering industries. Most recently, he has been working as an Product Development Professional specializing in training, services, and consultation nation-wide, ranging from design fundamentals to adva… more

Table of Contents

• Course Overview
  1min
• Understanding Data Types and Structures
  10mins
• Working with Scalars and Vectors
  18mins
• Working with Factors and Lists
  17mins
• Working with Data Frames, Matrices, and Arrays
  24mins
• Comparing and Contrasting Data Types and Structures
  16mins