An R Companion to Applied Regression
Authors: John Fox - Sanford Weisberg
ISBN-10: 1544336470
ISBN-13: 9781544336473
Edition: Third
Released: 2018-10-16
Print length 页数: 608 pages
Book Description
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 and Sanford Weisberg provide a step-by-step guide to using the free statistical software R,an emphasis on integrating statistical computing in R with the practice of data analysis,coverage of generalized linear models,and substantial web-based support materials. The Third Edition includes a new chapter on mixed-effects models,new and updated data sets,and a de-emphasis on statistical programming,while retaining a general introduction to basic R programming. The authors have substantially updated both the car and effects packages for R for this new edition,and include coverage of RStudio and R Markdown.
Contents
Publisher finelybook 出版社: Note
Preface
About the Authors
1Getting Started With R and RStudio
2Reading and Manipulating Data
3Exploring and Transforming Data
4 Fitting Linear Models
5 Coefficient Standard Errors,Confidence Intervals,and
Hypothesis Tests
6Fitting Generalized Linear Models
7 Fitting Mixed-Effects Models
8 Regression Diagnostics for Linear,Generalized Linear,
and Mixed-Effects Models
9Drawing Graphs
10 An Introduction to R Programming
References
Subject Index
Data Set Index
Data Set Index
Data Set Index
An R Companion to Applied Regression,3rd Edition
相关推荐
- Blockchain: The Comprehensive Guide to Blockchain Development, Ethereum, Solidity, and Smart Contracts
- Getting Started with JavaScript: A JavaScript Beginner's Guide to Building Dynamic Web and Mobile Apps with Hands-On Examples and 200+ Sample Projects
- Kubernetes: Practical Guide for Developers and DevOps Teams—From Container Basics to Advanced Helm Deployments
- Core Java, Volume II: Advanced Features, 14th Edition
finelybook
