
Applied Statistics Using R
A Guide for the Social Sciences
- 472 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
If you want to learn to use R for data analysis but aren't sure how to get started, this practical book will help you find the right path through your data.
Drawing on real-world data to show you how to use different techniques in practice, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research. It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers.
The book:
- Shows you how to use R packages and apply functions, adjusting them to suit different datasets.
- Gives you the tools to try new statistical techniques and empowers you to become confident using them.
- Encourages you to learn by doing when running and adapting the authors' own code.
- Equips you with solutions to overcome the potential challenges of working with real data that may be messy or imperfect.
Accompanied by online resources including screencast tutorials of R that give you step by step guidance and R scripts and datasets for you to practice with, this book is a perfect companion for any student of applied statistics or quantitative research methods courses.
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Information
Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Contents
- Online Resources
- About the Authors
- Preface
- 1 Introduction to R
- 2 Importing and Working With Data in R
- 3 How Does R Work?
- 4 Data Management
- 5 Data Visualization With ggplot2
- 6 Descriptive Statistics
- 7 Simple (Bivariate) Regression
- 8 Multiple Linear Regression
- 9 Dummy-Variable Regression
- 10 Moderation/Interaction Analysis Using Regression
- 11 Logistic Regression
- 12 Multilevel and Longitudinal Analysis
- 13 Factor Analysis
- 14 Structural Equation Modelling
- 15 Bayesian Statistics
- Bibliography
- Index