000			03141cam a22004337i 4500
001			22458789
003			OSt
005			20240909180700.0
008			220309t20232023caua b 001 0 eng d
010			_a 2022934375
015			_aGBC2H5598 _2bnb
016	7		_a020764841 _2Uk
020			_a9781473913646 _q(hardcover)
035			_a(OCoLC)on1346940026
040			_aUKMGB _beng _erda _cUKMGB _dOCLCF _dYDX _dBDX _dU3W _dZ@L _dJNA _dDLC
042			_alccopycat
050	0	0	_aHA29 _b.L523 2023
082	0	4	_a300.285/555 _223
082	0	4	_a300.727 _223/eng/20230518
100	1		_aLehmann, Marco, _eauthor.
245	1	0	_aComplete Data Analysis Using R : _byour applied manual / _cMarco Lehmann.
264		1	_aLos Angeles : _bSAGE, _c2023.
300			_axxiv, 385 pages : _billustrations ; _c25 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aQuick 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.
520			_a"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."-- _cPublisher's description.
650		0	_aSocial sciences _xResearch _xStatistical methods.
650		0	_aResearch _xStatistical methods _xData processing.
650		0	_aR (Computer program language)
650		7	_aResearch _xStatistical methods _xData processing. _2fast _0(OCoLC)fst01095243
650		7	_aSocial sciences _xResearch _xStatistical methods. _2fast _0(OCoLC)fst01122971
906			_a7 _bcbc _ccopycat _d2 _eepcn _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c6416 _d6416