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Complete Data Analysis Using R
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Complete Data Analysis Using R
Your Applied Manual

  • Marco Lehmann - University Medical Center Hamburg-Eppendorf, Germany
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November 2022 | 408 pages | SAGE Publications Ltd

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.

 
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

Clear and concise overview of how to use R will be useful for my students.

Dr Abi Rhodes
English Language Arts, Birmingham University
July 27, 2023

Very nice textbook for beginners in R. Complementary to other basic methodology books.

Professor Katie Goeman
Faculty of Economics & Business (Brussels), KU Leuven
April 27, 2023

This seems like a great book for a graduate student doing their 1st (2nd, 3rd...) study. It goes over things that have to be thought of during the experiment cycle. As a teacher for undergrads, however, this is not a book that I could use in my teaching. Nevertheless, there were some cool tips for R use that I didn't know earlier! As a side note, the figures and grey lettering seemed somewhat off, as if too small dpi was used.

Dr Tuomo Häikiö
Department of Psychology, University of Turku
June 22, 2023

Too advanced for my students. Need something simpler.

Mr Perry Carter
Geosciences Dept, Texas Tech University
February 23, 2024

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