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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

Understanding order statistics

Order statistics are the values of a collection of samples when arranged in ascending or descending order. These ordered samples provide useful information about the distribution and characteristics of the sampled data. Usually, the k th order statistic is the k th smallest value in the sorted sample.

For example, for a collection of samples of size n, the order statistics are denoted as X 1, X 2, , X n, where X 1 is the smallest value (the minimum), X n is the largest value (the maximum), and X k represents the k th smallest value in the sorted sample.

Let’s look at how to extract order statistics in R.

Extracting order statistics

Extracting the order statistics of a collection of samples could involve two types of tasks. We may be interested in collecting samples in an ordered fashion, which can be achieved using the sort() function. Alternatively, we may be interested in extracting...

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