Multilevel Modeling Using R Ch
Finch, W. Holmes
From SecondSale, Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
AbeBooks Seller since 20 December 2007
Used - Soft cover
Quantity: 1 available
Add to basketFrom SecondSale, Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
AbeBooks Seller since 20 December 2007
Quantity: 1 available
Add to basketAbout this Item
Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc. Seller Inventory # 00078741009
Bibliographic Details
Title: Multilevel Modeling Using R Ch
Publisher: CRC Press
Publication Date: 2014
Binding: Soft cover
Condition: Good
About this title
A powerful tool for analyzing nested designs in a variety of fields, multilevel/hierarchical modeling allows researchers to account for data collected at multiple levels. Multilevel Modeling Using R provides you with a helpful guide to conducting multilevel data modeling using the R software environment.
After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data. The book concludes with Bayesian fitting of multilevel models. For those new to R, the appendix provides an introduction to this system that covers basic R knowledge necessary to run the models in the book.
Through the R code and detailed explanations provided, this book gives you the tools to launch your own investigations in multilevel modeling and gain insight into your research.
"... it could help someone transitioning to R from some other software to analyze data as they were accustomed. It is easy enough to find very specific things in the text ..."
―The American Statistician, August 2015
"About this title" may belong to another edition of this title.
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