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The Statistics and Machine Learning with R Workshop

You're reading from  The Statistics and Machine Learning with R Workshop

Product type Book
Published in Oct 2023
Publisher Packt
ISBN-13 9781803240305
Pages 516 pages
Edition 1st Edition
Languages
Author (1):
Liu Peng Liu Peng
Profile icon Liu Peng

Table of Contents (20) Chapters

Preface 1. Part 1:Statistics Essentials
2. Chapter 1: Getting Started with R 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

Generating a financial analysis report

In this section, we will analyze Google’s stock data from Yahoo! Finance. To facilitate data download and analysis, we will use the quantmod package, which is designed to assist quantitative traders in developing, testing, and deploying statistically based trading models. Let’s install the package and load it into the console:

>>> install.packages("quantmod")
>>> library(quantmod)

Next, we will generate an HTML report using R Markdown and cover the basics of data querying and analysis.

Getting and displaying the data

Let’s go through an exercise to generate an initial report that automatically queries stock data from Yahoo! Finance and displays the basic information in the dataset.

Exercise 6.2 – generating the base report

In this exercise, we will set up an R Markdown file, download Google’s stock price data, and display general information about the dataset:

    ...
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