An R Companion for Applied Statistics II
eBook - ePub

An R Companion for Applied Statistics II

Multivariable and Multivariate Techniques

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

An R Companion for Applied Statistics II

Multivariable and Multivariate Techniques

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.

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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.

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Brief Contents
  7. Detailed Contents
  8. Preface
  9. Acknowledgments
  10. About the Authors
  11. Chapter 1 Beyond Two Variables and Null Hypothesis Significance Testing
  12. Chapter 2 Advanced Data Screening, Outliers, and Missing Values
  13. Chapter 3 Statistical Control
  14. Chapter 4 Statistical Control With Regression Analysis
  15. Chapter 5 Beyond Three Variables: Regression With Multiple Predictors
  16. Chapter 6 Regression With Dummy Variables
  17. Chapter 7 Moderation
  18. Chapter 8 Analysis of Covariance
  19. Chapter 9 Mediation
  20. Chapter 10 Discriminant Analysis
  21. Chapter 11 Multivariate Analysis of Variance
  22. Chapter 12 Exploratory Factor Analysis
  23. Chapter 13 Reliability and Validity for Multiple-Item Scales
  24. Chapter 14 Repeated-Measures Tests: Further Exploration
  25. Chapter 15 Brief Introduction to Latent-Variable Structural Equation Modeling
  26. Chapter 16 Binary Logistic Regression
  27. Chapter 17 Additional Statistical Techniques
  28. References