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Machine Learning with R Cookbook, Second Edition

You're reading from Machine Learning with R Cookbook, Second Edition Analyze data and build predictive models

Product type Paperback

Published in Oct 2017

Publisher Packt

ISBN-13 9781787284395

Length 572 pages

Edition 2nd Edition

Languages

R

Tools

Hadoop

Concepts

Machine Learning

Author (1):

Yu-Wei, Chiu (David Chiu)

View More author details

Table of Contents (21) Chapters

Title Page

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Practical Machine Learning with R FREE CHAPTER

2. Data Exploration with Air Quality Datasets

3. Analyzing Time Series Data

4. R and Statistics

5. Understanding Regression Analysis

6. Survival Analysis

7. Classification 1 - Tree, Lazy, and Probabilistic

8. Classification 2 - Neural Network and SVM

9. Model Evaluation

10. Ensemble Learning

11. Clustering

12. Association Analysis and Sequence Mining

13. Dimension Reduction

14. Big Data Analysis (R and Hadoop)

Using the log-rank test

The log-rank test is used to find the difference between two curves. It is a nonparametric test. It is also known as the Mantel-Cox test. It compares the estimates of hazard functions at each observed time. It will test two hypotheses: there is no difference in the survival function based on gender, and there is a difference in survival function based on gender.

Getting ready

You need to have performed the previous recipes.

How to do it...

Perform the following step:

> survdiff(Surv(cancer$time, cancer$status)~cancer$sex)
 Output
    Call:
    survdiff(formula = Surv(cancer$time, cancer$status) ~ cancer$sex)
    N Observed Expected (O-E)^2/E (O-E)^2/V
    cancer$sex=1 138 112 91.5817 4.55228 10.3267
    cancer$sex=2 90 53 73.4183 5.67850 10.3267
    Chisq= 10.3 on 1 degrees of freedom, p= 0.00131116

How it works...

The survdiff function displays the number of observations in a group; in our case, 138 males and 90 females. The observation shows the number of events that...

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Authors (1)

Yu-Wei, Chiu (David Chiu)

Yu-Wei, Chiu (David Chiu)

Yu-Wei, Chiu (David Chiu) is the founder of LargitData (www.LargitData.com), a startup company that mainly focuses on providing big data and machine learning products. He has previously worked for Trend Micro as a software engineer, where he was responsible for building big data platforms for business intelligence and customer relationship management systems. In addition to being a start-up entrepreneur and data scientist, he specializes in using Spark and Hadoop to process big data and apply data mining techniques for data analysis. Yu-Wei is also a professional lecturer and has delivered lectures on big data and machine learning in R and Python, and given tech talks at a variety of conferences. In 2015, Yu-Wei wrote Machine Learning with R Cookbook, Packt Publishing. In 2013, Yu-Wei reviewed Bioinformatics with R Cookbook, Packt Publishing. For more information, please visit his personal website at www.ywchiu.com. **********************************Acknowledgement************************************** I have immense gratitude for my family and friends for supporting and encouraging me to complete this book. I would like to sincerely thank my mother, Ming-Yang Huang (Miranda Huang); my mentor, Man-Kwan Shan; the proofreader of this book, Brendan Fisher; Members of LargitData; Data Science Program (DSP); and other friends who have offered their support.

See other products by Yu-Wei, Chiu (David Chiu)

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