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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

Working with calculus in R

In this section, we will use the mosaicCalc package to perform calculus-related operations. The functions we will work with are mostly analytical (have explicit expression) and simple in nature. The following code snippet checks if this package is installed and will install the package if the condition evaluates to true, followed by importing the package to the current session:

if(!require("mosaicCalc")){
  install.packages("mosaicCalc")
}
library(mosaicCalc)

To avoid too much imagination, a good way to learn about unknown functions is to plot them out. Let us see how to plot a function using the mosaicCalc package.

Plotting basic functions

There are a few input parameters we need to specify upon plotting a function using the mosaicCalc package. Overall, we need to specify the expression of the function, the input variable(s), the domain of each input variable used to plot the function, and the values of other parameters...

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