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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

Calculus in R

Calculus is a branch of mathematics that studies the relationship between two quantities, connected via a function, from either a micro or a macro perspective. Taking a microscopic lens, such a relationship (often denoted by y = f(x)) manifests in the form of a very small change in the output y given an infinitesimal change in the input x. When switching to the macro perspective, the relationship becomes the cumulative change in y as x changes. The micro perspective corresponds to differential calculus, and the macro perspective corresponds to integral calculus, both introduced in this chapter.

By the end of this chapter, you will have grasped essential concepts in differential and integral calculus. Practical implementations in R will also be introduced to leverage R’s automatic differentiation and integration capabilities.

In this chapter, we will cover the following topics:

  • Introducing calculus
  • Working with calculus in R
  • Working with integration...
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