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R cookbook / Paul Teetor ; [editor: Mike Loukides].

By: Contributor(s): Sebastopol, CA ; O'Reilly, 2011Beijing : O'Reilly, 2011Edition: 1st edDescription: xviii, 413 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780596809157
  • 0596809158
Subject(s): DDC classification:
  • 519.502855133 22
LOC classification:
  • QA276.45.R3 T44 2011
NLM classification:
  • QA 276.45 .R3
Other classification:
  • COM077000 | COM051390 | COM062000 | COM082000
Online resources:
Contents:
Ch. 1. Getting Started and Getting Help -- Ch. 2. Some Basics -- Ch. 3. Navigating the Software -- Ch. 4. Input and Output -- Ch. 5. Data Structures -- Ch. 6. Data Transformations -- Ch. 7. Strings and Dates -- Ch. 8. Probability -- Ch. 9. General Statistics -- Ch. 10. Graphics -- Ch. 11. Linear Regression and ANOVA -- Ch. 12. Useful Tricks -- Ch. 13. Beyond Basic Numerics and Statistics -- Ch. 14. Time Series Analysis.
Summary: "This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works."--Publisher's description.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
BOOK BOOK NCAR Library Mesa Lab QA276.45 .R3 .T44 2011 1 Available 50583020007963
Total holds: 0

Includes index.

Ch. 1. Getting Started and Getting Help -- Ch. 2. Some Basics -- Ch. 3. Navigating the Software -- Ch. 4. Input and Output -- Ch. 5. Data Structures -- Ch. 6. Data Transformations -- Ch. 7. Strings and Dates -- Ch. 8. Probability -- Ch. 9. General Statistics -- Ch. 10. Graphics -- Ch. 11. Linear Regression and ANOVA -- Ch. 12. Useful Tricks -- Ch. 13. Beyond Basic Numerics and Statistics -- Ch. 14. Time Series Analysis.

"This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works."--Publisher's description.

Questions? Email library@ucar.edu.

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