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The Statistics and Machine Learning with R Workshop

You're reading from   The Statistics and Machine Learning with R Workshop Unlock the power of efficient data science modeling with this hands-on guide

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781803240305
Length 516 pages
Edition 1st Edition
Languages
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Author (1):
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Liu Peng Liu Peng
Author Profile Icon Liu Peng
Liu Peng
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Table of Contents (20) Chapters Close

Preface 1. Part 1:Statistics Essentials
2. Chapter 1: Getting Started with R FREE CHAPTER 3. Chapter 2: Data Processing with dplyr 4. Chapter 3: Intermediate Data Processing 5. Chapter 4: Data Visualization with ggplot2 6. Chapter 5: Exploratory Data Analysis 7. Chapter 6: Effective Reporting with R Markdown 8. Part 2:Fundamentals of Linear Algebra and Calculus in R
9. Chapter 7: Linear Algebra in R 10. Chapter 8: Intermediate Linear Algebra in R 11. Chapter 9: Calculus in R 12. Part 3:Fundamentals of Mathematical Statistics in R
13. Chapter 10: Probability Basics 14. Chapter 11: Statistical Estimation 15. Chapter 12: Linear Regression in R 16. Chapter 13: Logistic Regression in R 17. Chapter 14: Bayesian Statistics 18. Index 19. Other Books You May Enjoy

Linear Algebra in R

The previous chapter introduced an efficient and effective reporting approach using R Markdown. Part 1 of this book essentially covered the practical aspects of getting things done using R. Part 2 of this book goes back to the fundamentals, covering two essential pillars of mathematics: linear algebra and calculus. Understanding these basics will better prepare us to appreciate and work with common mathematical operations to the point that these operations feel natural to us. Part 2 aims to develop that level of literacy, starting with a fundamental review of linear algebra with R in this chapter.

By the end of this chapter, you will have learned about the basic concepts of linear algebra, including vectors, matrices, and the system of equations. You will also be able to interpret basic notations in linear algebra and work with common matrices using R.

In this chapter, we will cover the following topics:

  • Introducing linear algebra
  • Common matrix...
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