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Complete Data Analysis Using R : Your Applied Manual.

SAGE Research Methods Online (backfile through 2025) Available online

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Format:
Book
Author/Creator:
Lehmann, Marco.
Series:
Core textbook.
Core textbook
Language:
English
Subjects (All):
Social sciences--Research--Statistical methods.
Social sciences.
Research--Statistical methods--Data processing.
Research.
R (Computer program language).
Physical Description:
1 online resource (417 pages)
Edition:
1st ed.
Place of Publication:
London : Sage Text UK, 2023.
Summary:
"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.
Contents:
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.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9781036212810
1036212815
9781529738698
1529738695
9781529736908
1529736900
OCLC:
1378538467
Publisher Number:
T244878

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