Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781803240305
Length 516 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Liu Peng Liu Peng
Author Profile Icon Liu Peng
Liu Peng
Arrow right icon
View More author details
Toc

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

Summary

In this chapter, we covered the essential building blocks in R, including how to leverage and navigate the RStudio IDE, basic arithmetic operations (addition, subtraction, multiplication, division, exponentiation, and modulo), common data structures (vectors, matrices, data frames, and lists), control logic, including relational operators (>, ==, <, >=, <=, and !=) and logical operators (&, |, !, &&, and ||), conditional statements using ifelse, the for and while loops, and finally, functions in R. Understanding these fundamental aspects will greatly benefit our learning in later chapters as we gradually introduce more challenging topics.

In the next chapter, we will cover dplyr, one of the most widely used libraries for data processing and manipulation. Tapping into the various utility functions provided by dplyr will make it much easier to handle most data processing tasks.

You have been reading a chapter from
The Statistics and Machine Learning with R Workshop
Published in: Oct 2023
Publisher: Packt
ISBN-13: 9781803240305
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime