000			02924nam a22003617a 4500
003			BD-SySUS
005			20241113150731.0
008			241113s2022 nju b 001 0 eng
020			_a9781119634324 _q(cloth)
020			_z9781119634409 _q(adobe pdf)
020			_z9781119634430 _q(epub)
040			_aWaSeSS/DLC _beng _erda _cDLC
082	0	0	_a005.55 _223 _bJOR
100	1		_aJones, Elinor _c(Associate Professor), _eauthor. _968276
245	1	4	_aThe R book / _cElinor Jones, Simon Harden, and Michael J Crawley.
250			_aThird edition.
263			_a2208
264		1	_aHoboken, NJ : _bWiley, _c2022.
300			_apages cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition introduces the advantages of the R environment, in a user-friendly format, to beginners and intermediate users in a range of disciplines, from science and engineering to medicine and economics. The format enables it to be either read as a text, or dipped-into as a reference manual. This third edition: Uses RStudio, instead of native R, which provides a far more user-friendly environment for those new to R Revised to account for the evolution of R over the past seven years including new developments and modern teaching methods Takes readers from a starting point of no knowledge of R or programming in general, and very little knowledge of statistics, through to advanced techniques Provides a comprehensive introduction to most areas of statistics used by non-statisticians, with minimal mathematics Explains concepts and how to implement them in R with in-depth discussion on how to interpret the resulting output Contains a large number of worked examples in R Companion website available with downloadable datasets, slides and other teaching materials Introduces modern ideas in handling data in R, e.g. the tidyverse. Features full colour text and extensive graphics throughout Features a fully revised and updated bibliography and reference section."-- _cProvided by publisher.
650		0	_aR (Computer program language) _968277
650		0	_aMathematical statistics _xData processing. _968278
700	1		_aHarden, Simon, _eauthor. _968279
700	1		_aCrawley, Michael J., _eauthor. _968280
776	0	8	_iOnline version: _aJones, Elinor (Associate Professor) _tR book _bThird edition. _dHoboken, NJ : Wiley, 2022 _z9781119634409 _w(DLC) 2022008353
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c86547 _d86547