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Introductory Statistics with R, Paperback by Dalgaard, Peter, Used Good Condi...

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Item specifics

Condition
Good
A book that has been read, but is in good condition. Minimal damage to the book cover eg. scuff marks, but no holes or tears. If this is a hard cover, the dust jacket may be missing. Binding has minimal wear. The majority of pages are undamaged with some creasing or tearing, and pencil underlining of text, but this is minimal. No highlighting of text, no writing in the margins, and no missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
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“May show signs of wear, highlighting, writing, and previous use. This item may be a former library ...
Book Title
Introductory Statistics with R
ISBN
9780387790534
Subject Area
Computers, Mathematics
Publication Name
Introductory Statistics with R
Item Length
9.3 in
Publisher
Springer New York
Subject
Programming Languages / General, Mathematical & Statistical Software, Probability & Statistics / General, Bioinformatics
Publication Year
2008
Series
Statistics and Computing Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Author
Peter Dalgaard
Item Width
6.1 in
Item Weight
42 Oz
Number of Pages
Xvi, 364 Pages

About this product

Product Information

R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development. 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. In the second edition, the text and code have been updated to R version 2.6.2. The last two methodological chapters are new, as is a chapter on advanced data handling. The introductory chapter has been extended and reorganized as two chapters. Exercises have been revised and answers are now provided in an Appendix.

Product Identifiers

Publisher
Springer New York
ISBN-10
0387790535
ISBN-13
9780387790534
eBay Product ID (ePID)
66588261

Product Key Features

Author
Peter Dalgaard
Publication Name
Introductory Statistics with R
Format
Trade Paperback
Language
English
Subject
Programming Languages / General, Mathematical & Statistical Software, Probability & Statistics / General, Bioinformatics
Publication Year
2008
Series
Statistics and Computing Ser.
Type
Textbook
Subject Area
Computers, Mathematics
Number of Pages
Xvi, 364 Pages

Dimensions

Item Length
9.3 in
Item Width
6.1 in
Item Weight
42 Oz

Additional Product Features

Edition Number
2
Intended Audience
Scholarly & Professional
Number of Volumes
1 Vol.
Lc Classification Number
Qa273.A1-274.9
Table of Content
Basics.- The R environment.- Probability and distributions.- Descriptive statistics and graphics.- One- and two-sample tests.- Regression and correlation.- Analysis of variance and the Kruskal-Wallis test.- Tabular data.- Power and the computation of sample size.- Advanced data handling.- Multiple regression.- Linear models.- Logistic regression.- Survival analysis.- Rates and Poisson regression.- Nonlinear curve fitting.
Copyright Date
2008
Dewey Decimal
519.5
Dewey Edition
21
Illustrated
Yes

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  • by _WJnwcL9TSi@Deleted
    04 Oct, 2011

    Ok, but free through school

    Reason for purchase: My "Intro to Biostatistics" class named this as the required textbook. Like: Well-organized, very detailed. Dislike: Free online version available, if you go through your school. Comparison to others: Can't say. There is only 1 required textbook, and we don't really use this book in class...

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