Complete data analysis using R : your applied manual / Marco Lehmann.

Marco Lehmann is a psychologist and music psychologist. He works as a researcher and consultant for empirical methods at the University Medical Center Hamburg-Eppendorf, Germany. He obtained his diploma in psychology at the University of Kiel, Germany, and his M. Sc. in Music Psychology at Keele University, UK. He completed his PhD at the Hanover University of Music, Drama and Media, Germany. Throughout his work as an empirical researcher, he maintained a strong affiliation with statistics and R programming. With his expertise in applied research he taught young researchers from several scientific domains how R figures in all steps of data analysis. If Marco is not programming R in his leisure time he plays guitar and bass guitar. He lives with his wife and two daughters near Hamburg, Germany.

Includes bibliographical references and index.

Quick start - basic training in r functions -- Getting your data in and out of R -- Preparing the data for analysis -- Descriptive and exploratory data analysis -- Graphical data analysis -- Inferential statistics I: a completely randomised factorial design -- Inferential statistics II: a multiple regression analysis -- Preparing tables for publication -- Preparing graphics for publication -- Data simulation -- Putting it all together: the structure of a statistical analysis.

"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: 1. Equips you with practical data visualisation tools to create graphs and tables. 2. Shows you how to prepare and present your research for assessment, publication and dissemination. 3. 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."-- Publisher's description.