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Statistics : an introduction using R / Michael J. Crawley.

By: Material type: TextTextAnalytics: Show analyticsPublisher: Chichester, West Sussex, England : John Wiley & Sons, Ltd, [2005]Copyright date: ©2005Description: xiii, 327 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0470022973
  • 9780470022979
  • 0470022981
  • 9780470022986
Subject(s): DDC classification:
  • 519.5 22
LOC classification:
  • QA276.12 .C73 2005
Contents:
Ch. 1. Fundamentals -- Ch. 2. Dataframes -- Ch. 3. Central tendency -- Ch. 4. Variance -- Ch. 5. Single samples -- Ch. 6. Two samples -- Ch. 7. Statistical modelling -- Ch. 8. Regression -- Ch. 9. Analysis of variance -- Ch. 10. Analysis of covariance -- Ch. 11. Multiple regression -- Ch. 12. Contrasts -- Ch. 13. Count data -- Ch. 14. Proportion data -- Ch. 15. Death and failure data -- Ch. 16. Binary response variable -- App. 1. Fundamentals of the R language.
Review: "Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Computational Statistics." "Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R."--BOOK JACKET.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 519.5 CRA (Browse shelf(Opens below)) 1 Available A490893B
Book City Campus City Campus Main Collection 519.5 CRA (Browse shelf(Opens below)) 4923 Issued 07/10/2024 A492310B
Book South Campus South Campus Main Collection 519.5 CRA (Browse shelf(Opens below)) 1 Available A479514B

Includes bibliographical references (pages 305-308) and index.

Ch. 1. Fundamentals -- Ch. 2. Dataframes -- Ch. 3. Central tendency -- Ch. 4. Variance -- Ch. 5. Single samples -- Ch. 6. Two samples -- Ch. 7. Statistical modelling -- Ch. 8. Regression -- Ch. 9. Analysis of variance -- Ch. 10. Analysis of covariance -- Ch. 11. Multiple regression -- Ch. 12. Contrasts -- Ch. 13. Count data -- Ch. 14. Proportion data -- Ch. 15. Death and failure data -- Ch. 16. Binary response variable -- App. 1. Fundamentals of the R language.

"Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Computational Statistics." "Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R."--BOOK JACKET.

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