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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

Getting Started with R

In this chapter, we will cover the basics of R, the most widely used open source language for statistical analysis and modeling. We will start with an introduction to RStudio, how to perform simple calculations, the common data structures and control logic, and how to write functions in R.

By the end of the chapter, you will be able to do basic computations in R using common data structures such as vectors, lists and data frames in the RStudio integrated development environment (IDE). You will also be able to wrap these calculations in functions using different methods.

In this chapter, we will cover the following:

  • Introducing R
  • Covering the R and RStudio basics
  • Common data structures in R
  • Control logic in R
  • Exploring functions in R
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The Statistics and Machine Learning with R Workshop
Published in: Oct 2023
Publisher: Packt
ISBN-13: 9781803240305
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