Data Analysis and Graphics Using R An Example-Based Approach

Name: Data Analysis and Graphics Using R An Example-Based Approach
Availability: InStock
ISBN: 9780521762939

ISBN-10: 0521762936

ISBN-13: 9780521762939

Edition: 3rd 2010 (Revised)

Authors: John Maindonald, W. John Braun

List price: $113.00

This item qualifies for FREE shipping.

30 day, 100% satisfaction guarantee!

Sell

Get cash fast!

Semester Rental: $37.47 Due date: 8/14/2024

Rental notice: supplementary materials (access codes, CDs, etc.) are not guaranteed with rental orders.

Buy used: $53.78

Buy new: $98.80

Marketplace

3 new & used from $33.65

what's this?

Rush Rewards U
Members Receive:

You have reached 400 XP and carrot coins. That is the daily max!

The third edition of this guide to using R reflects recent improvements to the R system, including major advances in graphical user interfaces and graphics packages. It emphasizes hands-on analysis, graphical display and interpretation of data.

Book details

List price: $113.00
Edition: 3rd
Copyright year: 2010
Publisher: Cambridge University Press
Publication date: 5/6/2010
Binding: Hardcover
Pages: 549
Size: 7.20" wide x 10.24" long x 1.18" tall
Weight: 3.080
Language: English

John Maindonald is Visiting Fellow at the Mathematical Sciences Institute at the Australian National University. He has collaborated extensively with scientists in a wide range of application areas, from medicine and public health to population genetics, machine learning, economic history, and forensic linguistics.



Preface


Content - how the chapters fit together



A brief introduction to R



Styles of data analysis



Statistical models



A review of inference concepts



Regression with a single predictor



Multiple linear regression



Exploiting the linear model framework



Generalized linear models and survival analysis



Time series models



Multi-level models, and repeated measures



Tree-based classification and regression



Multivariate data exploration and discrimination



Regression on principal component or discriminant scores



The R system - additional topics



Graphs in R


Epilogue


Index of R symbols and functions


Index of authors