CART

(0) items

Introductory Statistics with R

by
Edition:
2nd
ISBN13:

9780387790534

ISBN10:
0387790535
Format:
Paperback
Pub. Date:
7/25/2008
Publisher(s):
Textstream
List Price: $64.95

Rent Textbook

(Recommended)
 
Term
Due
Price
$22.68

Buy New Textbook

In Stock Usually Ships in 24 Hours.
N9780387790534
$56.83

Used Textbook

We're Sorry
Sold Out

eTextbook

We're Sorry
Not Available

More New and Used
from Private Sellers
Starting at $36.67
See Prices

Questions About This Book?

Why should I rent this book?
Renting is easy, fast, and cheap! Renting from eCampus.com can save you hundreds of dollars compared to the cost of new or used books each semester. At the end of the semester, simply ship the book back to us with a free UPS shipping label! No need to worry about selling it back.
How do rental returns work?
Returning books is as easy as possible. As your rental due date approaches, we will email you several courtesy reminders. When you are ready to return, you can print a free UPS shipping label from our website at any time. Then, just return the book to your UPS driver or any staffed UPS location. You can even use the same box we shipped it in!
What version or edition is this?
This is the 2nd edition with a publication date of 7/25/2008.
What is included with this book?
  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.
  • The Rental copy of this book is not guaranteed to include any supplemental materials. You may receive a brand new copy, but typically, only the book itself.

Summary

"This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. A supplementary R package can be downloaded and contains the data sets." "The statistical methodology includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last six chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, survival analysis, Poisson regression, and nonlinear regression."--BOOK JACKET.

Author Biography

Peter Dalgaard is associate professor at the Biostatistical Department at the University of Copenhagen and has extensive experience in teaching within the PhD curriculum at the Faculty of Health Sciences. He was chairman of the Danish Society for Theoretical Statistics from 1996 to 2000. Peter Dalgaard has been a key member of the R Core Team since August 1997 and is well known among R users for his activity on

Table of Contents

Basicsp. 1
The R environmentp. 31
Probability and distributionsp. 55
Descriptive statistics and graphicsp. 67
One- and two-sample testsp. 95
Regression and correlationp. 109
Analysis of variance and the Kruskal-Wallis testp. 127
Tabular datap. 145
Power and the computation of sample sizep. 155
Advanced data handlingp. 163
Multiple regressionp. 185
Linear modelsp. 195
Logistic regressionp. 227
Survival analysisp. 249
Rates and Poisson regressionp. 259
Nonlinear curve fittingp. 275
Obtaining and installing R and the ISwR packagep. 289
Data sets in the ISwR packagep. 293
Compendiump. 325
Answers to exercisesp. 337
Bibliographyp. 355
Indexp. 357
Table of Contents provided by Blackwell. All Rights Reserved.


Please wait while the item is added to your cart...