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Using R With Multivariate Statistics

English

By (author): Randall E. Schumacker

Using R with Multivariate Statistics 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.
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A01=Randall E. SchumackerAge Group_UncategorizedAuthor_Randall E. Schumackerautomatic-updateCategory1=Non-FictionCategory=GPSCategory=UFMCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=To orderPrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 710g
  • Dimensions: 187 x 231mm
  • Publication Date: 08 Sep 2015
  • Publisher: SAGE Publications Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781483377964

About Randall E. Schumacker

Dr. Randall E. Schumacker is professor of educational research at the University of Alabama. He has written and co-edited several books including A Beginners Guide to Structural Equation Modeling Third Edition Advanced Structural Equation Modeling: Issues and Techniques Interaction and Non-Linear Effects in Structural Equation Modeling New Developments and Techniques in Structural Equation Modeling Understanding Statistical Concepts Using S-PLUS Understanding Statistics Using R and Learning Statistics Using R.  Dr. Schumacker was the founder and is now emeritus editor of Structural Equation Modeling: A Multidisciplinary Journal and has established the Structural Equation Modeling Special Interest Group within the American Educational Research Association (AERA). He is also the emeritus editor of Multiple Linear Regression Viewpoints the oldest journal sponsored by AERA (Multiple Linear Regression: General Linear Model Special Interest Group). Dr. Schumacker has conducted international and national workshops has served on the editorial board of several journals and currently pursues his research interests in statistics and structural equation modeling. He was the 1996 recipient of the Outstanding Scholar Award and the 1998 recipient of the Charn Oswachoke International Award. In 2010 he launched the DecisionKit App for the iPhone iPad and iTouch which can assist researchers in making decisions about which measurement research design or statistic to use in their research projects. In 2011 he received the Apple iPad Award. In 2012 he received the CIT Faculty Technology Award. In 2013 he received the McCrory Faculty Excellence in Research Award from the College of Education at the University of Alabama. In 2014 Dr. Schumacker was the recipient of the Structural Equation Modeling Service Award at AERA.

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