Skip navigation

Bookboon.com Download free eBooks and textbooks

Choose a category

R Companion to Introductory Nonparametrics

R Companion to Introductory Nonparametrics
Not enough reviews yet
ISBN: 978-87-403-2260-6
1 edition
Pages : 84
  • Price: 129.00 kr
  • Price: €13.99
  • Price: £13.99
  • Price: ₹250
  • Price: $13.99
  • Price: 129.00 kr
  • Price: 129.00 kr

Download for FREE in 4 easy steps...

We are terribly sorry, but in order to download our books or watch our videos, you will need a browser that allows JavaScript.
Can we interest you in some FREE eBooks and relevant Bookboon updates?
After entering your email address, a confirmation email will be sent to your inbox. Please approve this email to receive our weekly eBook update. We will not share your personal information with any third party.
eLib
Unlock your organization's learning potential
See Demo

Corporate eLibrary

Discover our employee learning solutions

This is a Premium eBook

Bookboon Premium - Gain access to over 800 eBooks - without ads

You can get free access for a month to this - and 800 other books with the Premium Subscription. You can also buy the book below

  • Start a 30-day free trial. After trial: 39.99 kr p/m
  • Start a 30-day free trial. After trial: €5.99 p/m
  • Start a 30-day free trial. After trial: £4.99 p/m
  • Start a 30-day free trial. After trial: ₹299 p/m
  • Start a 30-day free trial. After trial: $3.99 p/m
  • Start a 30-day free trial. After trial: 39.99 kr p/m
  • Start a 30-day free trial. After trial: 39.99 kr p/m
eLib
Unlock your organization's learning potential
Click here!

Corporate eLibrary

Discover our employee learning solutions

About the book

  1. Description
  2. Content

Description

This is a companion volume to INTRODUCTORY NONPARAMETRICS by J.C.W. Rayner. As a reader studies the theory and calculations for a particular non-parametric example in Rayner (2016), the identically numbered section in this volume will provide the necessary computer code in the R language to complete the analysis for that example. The code and supporting text help develop understanding as well as provide computational tools for application to new data sets.

About the author

Paul Rippon originally trained as an engineer. Despite not enjoying statistics very much during undergraduate years he found great satisfaction in the improvement of processes in the steel industry through the application of statistical process control and total quality management methods. Paul subsequently retrained as a statistician and has worked at the University of Newcastle, Australia since 1999 as a lecturer in statistics and currently as a statistical consultant assisting researchers with their data analysis.

Content

  1. Preface 
  2. Using R 
  3. Examples and R Scripts
  4. A First Perspective on Nonparametric Testing
    1. The sign tests
    2. Runs tests
    3. The median test
  5. Nonparametric Testing in the Completely Randomised, Randomised Blocks and Balanced Incomplete Block Designs
    1. The Kruskal-Wallis test 
    2. The Friedman test
    3. The Durbin test
    4. Relationships of Kruskal-Wallis, Friedman and Durbin tests with ANOVA F tests
    5. Orthogonal contrasts: Page and umbrella tests
  6. Permutation Testing
    1. What is permutation testing and why it is important?
    2. Nonparametric multifactor ANOVA when the levels of the factors are unordered
    3. Revisiting some previous examples
  7. Bibliography


This website uses cookies to improve user experience. By using our website you consent to all cookies in accordance with EU regulation.