000 01732nam a22002417a 4500
999 _c4102
_d4102
005 20221205114332.0
008 221205b ||||| |||| 00| 0 eng d
020 _a9781108719148
082 _a519.5
_bWEI
100 _aWeinberg, Sharon L.
_99306
245 _aStatistics using R:
_ban integrative approach
260 _bCambridge University Press
_aUK
_c2021
300 _axviii, 676 p.
365 _aGBP
_b61.99
520 _aDescription Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to learn from and adapt and use in their future data analytic work. Other unique features created specifically for this textbook include an online R tutorial that introduces readers to data frames and other basic elements of the R architecture, and a CRAN library of datasets and functions that is used throughout the book. Essential topics often overlooked in other introductory texts, such as data management, are covered. The textbook includes online solutions to all end-of-chapter exercises and PowerPoint slides for all chapters as additional resources, and is suitable for those who do not have a strong background in mathematics.
650 _aR (Computer program language)
_91512
650 _aStatistics--Data processing
_91492
650 _aMathematical statistics--Data processing
_91581
650 _aStatistics--Computer programs
_91514
700 _aHarel, Daphna
_910439
700 _aAbramowitz, Sarah Knapp
_910440
942 _2ddc
_cBK