000			01504nam a22002177a 4500
999			_c4608 _d4608
005			20230127110314.0
008			230127b ||||| |||| 00| 0 eng d
020			_a9781071815571
082			_a519.502855133 _bRAS
100			_aRasco, Danney _910630
245			_aAn R companion for applied statistics II: _bmultivariable and multivariate techniques
260			_bSage Publications, Inc. _aCalifornia _c2021
300			_axv, 267 p.
365			_aUSD _b45.00
520			_aAn R Companion for Applied Statistics II: Multivariable and Multivariate Techniques breaks the language of the R software down into manageable chunks in order to help students learn how to use R to analyze multivariate data. The book focuses on the statistics generally covered in an intermediate or multivariate statistics course and provides one or two ways to run each analysis in R. The book has been designed to be an R companion to Rebecca M. Warner's Applied Statistics II: Third Edition, and includes end-of-chapter instructions for replicating the examples from that book in R. However, this text can also be used as a stand-alone R guide for a multivariate statistics course, without reference to the Warner text. Datasets and scripts to run the examples are provided on an accompanying website.
650			_aR (Computer program language) _91512
650			_aCommercial statistics _91041
650			_aStatistics--Computer programs _91514
650			_aStatistics--Data processing _91492
942			_2ddc _cBK