Using R With Multivariate Statistics
Nonfiction, Reference & Language, Reference, Research, Social & Cultural Studies, Social Science
| Author: | Randall E. Schumacker | ISBN: | 9781483377988 |
| Publisher: | SAGE Publications | Publication: | June 18, 2015 |
| Imprint: | SAGE Publications, Inc | Language: | English |
| Author: | Randall E. Schumacker |
| ISBN: | 9781483377988 |
| Publisher: | SAGE Publications |
| Publication: | June 18, 2015 |
| Imprint: | SAGE Publications, Inc |
| Language: | English |
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 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.
