An R Companion to Applied Regression

An R Companion to Applied Regression
Author: John Fox
Publisher: SAGE Publications
Total Pages: 473
Release: 2011
Genre: Social Science
ISBN: 141297514X


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This book aims to provide a broad introduction to the R statistical environment in the context of applied regression analysis, which is typically studied by social scientists and others in a second course in applied statistics.


An R Companion to Applied Regression
Language: en
Pages: 473
Authors: John Fox
Categories: Social Science
Type: BOOK - Published: 2011 - Publisher: SAGE Publications

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This book aims to provide a broad introduction to the R statistical environment in the context of applied regression analysis, which is typically studied by soc
An R and S-Plus Companion to Applied Regression
Language: en
Pages: 332
Authors: John Fox
Categories: Mathematics
Type: BOOK - Published: 2002-06-05 - Publisher: SAGE

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"This book fits right into a needed niche: rigorous enough to give full explanation of the power of the S language, yet accessible enough to assign to social sc
An R Companion to Applied Regression
Language: en
Pages: 608
Authors: John Fox
Categories: Social Science
Type: BOOK - Published: 2018-09-27 - Publisher: SAGE Publications

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An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox
Applied Regression Analysis and Generalized Linear Models
Language: en
Pages: 612
Authors: John Fox
Categories: Social Science
Type: BOOK - Published: 2015-03-18 - Publisher: SAGE Publications

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Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generali
An R and S-PlusĀ® Companion to Multivariate Analysis
Language: en
Pages: 231
Authors: Brian Everitt
Categories: Computers
Type: BOOK - Published: 2005-03-17 - Publisher: Springer Science & Business Media

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Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or