Using R With Multivariate Statistics

by Randall (Randy) E. (Ernest) Schumacker

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.

408 pages, Kindle Edition

First published July 10, 2015

Reviews

[Anthony · Rating 5 out of 5]

I used this book for a course called Multivariate Data Analysis. It contains numerous examples that help the reader understand how to implement multiple methods used in multivariate statistics. This book will help you get up to speed with using R. It is not meant to be a comprehensive text on the subject so be sure to use with a text that is. I enjoyed his explanations of results for the methods he covers in the text. After spending hours trying to implement the code and produce the same results in the book, you can use the biographies he provides as a way for taking a break.

Be sure to used the companion site as it contains the R files, exercise solutions, and datasets used throughout the book. It also contains a list of errors (there are quite a few, but that is always the case with texts on statistics).