Using R with Multivariate Statistics by Randall E. Schumacker is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R code, computer output, and explanation of results for every multivariate statistical application included. In addition, R code for some of the data set examples used in more comprehensive texts is included, so students can run examples in R and compare results to those obtained using SAS, SPSS, or STATA. A unique feature of the book is the photographs and biographies of famous persons in the field of multivariate statistics.
Using R with Multivariate Statistics: A Primer was designed as a supplement to a more comprehensive text on Multivariate statistics. The author,Randall E. Schumacker, wanted to provide a guide to using the access free software R when conducting multivariate statistical analysis. R code is provided for some of the data set examples used in a wide range of texts that are published as comprehensive texts in Multivariate Statistics. The goal is an applied guide that students can run the examples in R and compare results in the books that used SAS, SPSS or STATA statistics packges. The R commands can be saved in a script file for future use, readily shared, and provide the user control over the analytic steps and algorithms used. There are many advantages to using R, one being that it is free software, the ability to customize statistical analysis, and is available on Windows, Mac, and Linus operating systems.
Number of Pages: 383
Genre: Social Science
Publisher: Sage Pubns
Author: Randall E. Schumacker
Street Date: July 21, 2015
Item Number (DPCI): 247-04-5140