
eBook - ePub
An R Companion for Applied Statistics II
Multivariable and Multivariate Techniques
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
An R Companion for Applied Statistics II: Multivariable and Multivariate Techniques breaks the language of the R software down into manageable chunks in order to help students learn how to use R to analyze multivariate data. The book focuses on the statistics generally covered in an intermediate or multivariate statistics course and provides one or two ways to run each analysis in R. The book has been designed to be an R companion to Rebecca M. Warner?s Applied Statistics II: Third Edition, and includes end-of-chapter instructions for replicating the examples from that book in R. However, this text can also be used as a stand-alone R guide for a multivariate statistics course, without reference to the Warner text. Datasets and scripts to run the examples are provided on an accompanying website.
Frequently asked questions
Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access An R Companion for Applied Statistics II by Danney Rasco in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- Preface
- Acknowledgments
- About the Authors
- Chapter 1 Beyond Two Variables and Null Hypothesis Significance Testing
- Chapter 2 Advanced Data Screening, Outliers, and Missing Values
- Chapter 3 Statistical Control
- Chapter 4 Statistical Control With Regression Analysis
- Chapter 5 Beyond Three Variables: Regression With Multiple Predictors
- Chapter 6 Regression With Dummy Variables
- Chapter 7 Moderation
- Chapter 8 Analysis of Covariance
- Chapter 9 Mediation
- Chapter 10 Discriminant Analysis
- Chapter 11 Multivariate Analysis of Variance
- Chapter 12 Exploratory Factor Analysis
- Chapter 13 Reliability and Validity for Multiple-Item Scales
- Chapter 14 Repeated-Measures Tests: Further Exploration
- Chapter 15 Brief Introduction to Latent-Variable Structural Equation Modeling
- Chapter 16 Binary Logistic Regression
- Chapter 17 Additional Statistical Techniques
- References