00000nam a22000007i 4500 UP-8027390931311609292 Buklod 20250609130544.0 m |o d | cr ||||||||||| 250228t20232023cau a b 001 0 eng d 2022934375 GBC2H5598 bnb 020764841 Uk 9781473913653 (pbk) 22458789 DSTC eng rda UKMGB OCLCF YDX BDX U3W Z@L JNA DLC eng lccopycat HA 29 L343 2023 300.285/555 23 300.727 23/eng/20230518 Lehmann, Marco author. Complete data analysis using R your applied manual Marco Lehmann. ©2023 Los Angeles SAGE [2023] xiv, 385 pages illustrations 25 cm text txt rdacontent unmediated rdamedia volume nc rdacarrier 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. R (Computer program language) R (Computer program language) fast (OCoLC)fst01086207. Research Statistical methods Data processing. Social sciences Research Statistical methods. Research Statistical methods Data processing. fast (OCoLC)fst01095243. Social sciences Research Statistical methods. fast (OCoLC)fst01122971 ebook version 9781529737790. FO Printed UPD DSTC HA 29 L343 2023 Book