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Informationen zum Autor John Fox received a BA from the City College of New York and a PhD from the University of Michigan, both in Sociology. He is Professor Emeritus of Sociology at McMaster University in Hamilton, Ontario, Canada, where he was previously the Senator William McMaster Professor of Social Statistics. Prior to coming to McMaster, he was Professor of Sociology, Professor of Mathematics and Statistics, and Coordinator of the Statistical Consulting Service at York University in Toronto. Professor Fox is the author of many articles and books on applied statistics, including \emph{Applied Regression Analysis and Generalized Linear Models, Third Edition} (Sage, 2016). He is an elected member of the R Foundation, an associate editor of the Journal of Statistical Software, a prior editor of R News and its successor the R Journal, and a prior editor of the Sage Quantitative Applications in the Social Sciences monograph series. Klappentext The nature of statistics has changed from classical notions of hypothesis testing, towards graphical and exploratory data analysis which exploits the flexibility of interactive computing and graphical displays. This book describes seven statistical computing environments - APL2STAT, GAUSS, Lisp-Stat, Mathematica, S, SAS//IML, and Stata - which can be used effectively in graphical and exploratory modeling.These statistical computing environments, in contrast to standard statistical packages, provide programming tools for building other statistical applications. Programmability, flexible data structures, and - in the case of some of the computing environments - graphical interfaces and object-oriented programming, permit res Zusammenfassung The nature of statistics has changed from classical notions of hypothesis testing! towards graphical and exploratory data analysis which exploits the flexibility of interactive computing and graphical displays. This book describes seven statistical computing environments - APL2STAT! GAUSS! Lisp-Stat! Mathematica! S! SAS//IML! and Stata - which can be used effectively in graphical and exploratory modeling. These statistical computing environments! in contrast to standard statistical packages! provide programming tools for building other statistical applications. Programmability! flexible data structures! and - in the case of some of the computing environments - graphical interfaces and object-oriented programming! permit res Inhaltsverzeichnis Editors¿ Introduction - Robert Stine and John Fox PART ONE: COMPUTING ENVIRONMENTS Data Analysis Using APL2 and APL2STAT - John Fox and Michael Friendly Data Analysis Using GAUSS and Markov - J Scott Long and Brian Noss Data Analysis Using Lisp-Stat - Luke Tierney Data Analysis Using Mathematica - Robert Stine Data Analysis Using SAS - Charles Hallahan Data Analysis Using Stata - Lawrence C Hamilton and Joseph M Hilbe Data Analysis Using S-Plus - Daniel A Schulman, Alec D Campbell, and Eric C Kostello PART TWO: EXTENDING LISP-STAT AXIS - Robert Stine An Extensible Graphical User Interface for Statistics The R-Code - Sanford Weisberg A Graphical Paradigm for Regression Analysis ViSta - Forrest W Young and Carla M Bann A Visual Statistics System ...
