000			01951nam a22002417a 4500
003			OSt
005			20260212081120.0
008			260212b |||||||| |||| 00| 0 eng d
020			_a978-3-11-030728-3
040			_aDLC _bEn _cDLC
050			_aDUCE P138.5 .G75
100			_aGRIES, Stefan Th. _qStefan Th. Gries
245			_aStatistics for linguistics with R : _b a practical introduction / _cStefan Th. Gries
250			_a2nd ed.-
260			_a Berlin: _bDe Gruyter Mouton, _c2021.
300			_axvi, 495 p. : _bill. ; _c23 cm. _eBook.
500			_aIncludes bibliographical references (pages 486-495).
520			_aThis is the second, newly revised and extended edition of this successful book (that has already been translated into three languages). Like the previous editions, it is entirely based on the programming language and environment R and is still thoroughly hands-on (with thousands of lines of heavily annotated code for all computations and plots). However, this edition has been updated based on many workshops/bootcamps taught by the author all over the world for the past few years: This edition has been didactically streamlined with regard to its exposition, it adds two new chapters -- one on mixed-effects modeling, one on classification and regression trees as well as random forests -- plus it features new discussion of curvature, orthogonal and other contrasts, interactions, collinearity, the effects and emmeans packages, autocorrelation/runs, some more bits on programming, writing statistical functions, and simulations, and many practical tips based on 10 years of teaching with these materials _uhttp://172.20.27.22:4000/handle/123456789/102
650			_2Linguistics--Statistical methods _aR (Computer program language)
700			_aStefan Th. Gries _eAuthor _qStefan Th. Gries
856			_yhttp://172.20.27.22:4000/handle/123456789/102 _uhttp://172.20.27.22:4000/handle/123456789/102
942			_2lcc _cBK _n0
999			_c4377 _d4377