000			02781cam a22003378i 4500
001			u5533
003			SIRSI
005			20260526152734.0
008			240403s2022 njud rb 001|0 eng c
020			_a9781119634324 _q(cloth)
020			_z9781119634409 _q(adobe pdf)
020			_z9781119634430 _q(epub)
040			_aWaSeSS/DLC _beng _erda _cDLC _dclrauoh
082	0	0	_a005.5
100	1		_aJones, Elinor _c(Associate Professor), _eauthor.
245	1	4	_aThe R book / _cElinor Jones, Simon Harden, and Michael J Crawley.
250			_aThird edition.
264		1	_aHoboken, NJ : _bWiley, _c2022.
300			_axxii, 851 pages : _bcharts.
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)
650		0	_aMathematical statistics _xData processing.
700	1		_aHarden, Simon, _eauthor.
700	1		_aCrawley, Michael J., _eauthor.
856			_uhttps://itmsp.museknowledge.com/UOH?qurl=https://libros-uoh.uoh.cl//ebook_2/the-r-book/ _yVER LIBRO DIGITAL
942			_2ddc _cBOOK
999			_c4117 _d4117