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Statistics and data with R : an applied approach through examples

Author: Yosef Cohen; Jeremiah Y Cohen; Wiley InterScience (Online service)
Publisher: Chichester, U.K. : Wiley, 2008.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels from simple to advanced and in numerous fields including Medicine, Genetics, Biology, Environmental Sciences, Geology, Social Sciences and much more.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Cohen, Yosef.
Statistics and data with R.
Chichester, U.K. : Wiley, 2008
(DLC) 2008032153
(OCoLC)235946051
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Yosef Cohen; Jeremiah Y Cohen; Wiley InterScience (Online service)
ISBN: 9780470721896 0470721898 9780470721889 047072188X 9780470758052 0470758058 1282342797 9781282342798
OCLC Number: 299043658
Description: 1 online resource (xviii, 599 pages) : illustrations
Contents: Part I Data in statistics and R; 1 Basic R; 2 Data in statistics and in R; 3 Presenting data; Part II Probability, densities and distributions; 4 Probability and random variables; 5 Discrete densities and distributions; 6 Continuous distributions and densities; 7 The normal and sampling densities; Part III Statistics; 8 Exploratory data analysis; 9 Point and interval estimation; 10 Single sample hypotheses testing; 11 Power and sample size for single samples; 12 Two samples; 13 Power and sample size for two samples; 14 Simple linear regression; 15 Analysis of variance; 16 Simple logistic regression; 17 Application: the shape of wars to come.
Responsibility: Yosef Cohen, Jeremiah Y. Cohen.

Abstract:

Provides a comprehensive practical guide to the broadly used statistical language of R assuming no previous knowledge of either statistics or R. A unique focus allows unprecedented coverage of the  Read more...
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"The overall presentation is clear and it is very well motivated. ... The text covers a wide range of subjects and is a useful tool for graduate students, practitioners and those interested in Read more...

 
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