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Full Description
This step-by-step guide shows you how to use R to get data analysis right.
The book explores the entire process of analysis, covering key steps from preparing your data to putting your analysis together and writing up your findings. It helps you get to grips with doing different statistical techniques in R and:
Equips you with practical data visualisation tools to create graphs and tables.
Shows you how to prepare and present your research for assessment, publication and dissemination.
Covers key issues facing today's social scientists, such as making research reproducible.
Features include an introduction to each chapter, and end-of-chapter exercises to check your understanding of the material. The online resources for this text include data sets that you can perform your own analysis on, and links to publications that are relevant to programming with R.
A good starting point for any postgraduate student conducting a research project, this book will help you develop your statistics and programming knowledge and get quickly up to speed.
Contents
Chapter 1: Quick Start - Basic Training in R Functions
Chapter 2: Getting Your Data In and Out of R
Chapter 3: Preparing the Data for Analysis
Chapter 4: Descriptive and Exploratory Data Analysis
Chapter 5: Graphical Data Analysis
Chapter 6: Inferential Statistics I: A Completely Randomised Factorial Design
Chapter 7: Inferential Statistics II: A Multiple Regression Analysis
Chapter 8: Preparing Tables for Publication
Chapter 9: Preparing Graphics for Publication
Chapter 10: Data Simulation
Chapter 11: Putting It All Together: The Structure of a Statistical Analysis
