BN.com Gift Guide

A Handbook of Statistical Analyses Using R / Edition 1

Paperback (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $37.99
Usually ships in 1-2 business days
(Save 32%)
Other sellers (Paperback)
  • All (6) from $37.99   
  • New (2) from $159.43   
  • Used (4) from $37.99   
Close
Sort by
Page 1 of 1
Showing All
Note: Marketplace items are not eligible for any BN.com coupons and promotions
$159.43
Seller since 2014

Feedback rating:

(320)

Condition:

New — never opened or used in original packaging.

Like New — packaging may have been opened. A "Like New" item is suitable to give as a gift.

Very Good — may have minor signs of wear on packaging but item works perfectly and has no damage.

Good — item is in good condition but packaging may have signs of shelf wear/aging or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Acceptable — item is in working order but may show signs of wear such as scratches or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Used — An item that has been opened and may show signs of wear. All specific defects should be noted in the Comments section associated with each item.

Refurbished — A used item that has been renewed or updated and verified to be in proper working condition. Not necessarily completed by the original manufacturer.

New
Brand New Item.

Ships from: Chatham, NJ

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
  • Express, 48 States
  • Express (AK, HI)
$191.63
Seller since 2008

Feedback rating:

(196)

Condition: New

Ships from: Chicago, IL

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
Page 1 of 1
Showing All
Close
Sort by

Overview

R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields.

Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary. They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented. All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive.

A Handbook of Statistical Analyses Using R is the perfect guide for newcomers as well as seasoned users of R who want concrete, step-by-step guidance on how to use the software easily and effectively for nearly any statistical analysis.

Read More Show Less

Product Details

  • ISBN-13: 9781584885399
  • Publisher: Taylor & Francis
  • Publication date: 3/31/2006
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 304
  • Product dimensions: 5.90 (w) x 9.20 (h) x 0.80 (d)

Table of Contents

AN INTRODUCTION TO R
What Is R?
Installing R
Help and Documentation
Data Objects in R
Data Import and Export
Basic Data Manipulation
Simple Summary Statistics
Organising an Analysis
Summary

SIMPLE INFERENCE
Introduction
Statistical Tests
Analysis Using R
Summary

CONDITIONAL INFERENCE
Introduction
Conditional Test Procedures
Analysis Using R
Summary

ANALYSIS OF VARIANCE
Introduction
Analysis of Variance
Analysis Using R
Summary

MULTIPLE LINEAR REGRESSION
Introduction
Multiple Linear Regression
Analysis Using R
Summary

LOGISTIC REGRESSION AND GENERALISED LINEAR MODELS
Introduction
Logistic Regression and Generalised Linear Models
Analysis Using R
Summary

DENSITY ESTIMATION
Introduction
Density Estimation
Analysis Using R
Summary

RECURSIVE PARTITIONING
Introduction
Recursive Partitioning
Analysis Using R
Summary

SURVIVAL ANALYSIS
Introduction
Survival Analysis
Analysis Using R
Summary

ANALYSING LONGITUDINAL DATA I
Introduction
Analysing Longitudinal Data
Linear Mixed Effects models
Analysis Using R
Prediction of Random Effects
The Problem of Dropouts
Summary

ANALYSING LONGITUDINAL DATA II
Introduction
Generalised Estimating Equations
Analysis Using R
Summary

META-ANALYSIS
Introduction
Systematic Reviews and Meta-Analysis
Analysis Using R
Meta-Regression
Publication Bias
Summary

PRINCIPAL COMPONENT ANALYSIS
Introduction
Principal Component Analysis
Analysis Using R
Summary

MULTIDIMENSIONAL SCALING
Introduction
Multidimensional Scaling
Analysis Using R
Summary

CLUSTER ANALYSIS
Introduction
Cluster Analysis
Analysis Using R
Summary
BIBLIOGRAPHY
INDEX

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)