R Cookbook

Paul Teetor

ISBN 10: 0596809158 ISBN 13: 9780596809157
Verlag: O'Reilly Media, 2011
Gebraucht Softcover

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Beschreibung

Beschreibung:

Leichte Abnutzungen. With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. 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. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. Bestandsnummer des Verkäufers f3225152-1ef3-4f67-a281-c91df3810f37

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Inhaltsangabe:

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. 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. If you&;re a beginner, R Cookbook will help get you started. If you&;re an experienced data programmer, it will jog your memory and expand your horizons. You&;ll get the job done faster and learn more about R in the process.

  • Create vectors, handle variables, and perform other basic functions
  • Input and output data
  • Tackle data structures such as matrices, lists, factors, and data frames
  • Work with probability, probability distributions, and random variables
  • Calculate statistics and confidence intervals, and perform statistical tests
  • Create a variety of graphic displays
  • Build statistical models with linear regressions and analysis of variance (ANOVA)
  • Explore advanced statistical techniques, such as finding clusters in your data

"Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language&;one practical example at a time."&;Jeffrey Ryan, software consultant and R package author

Über die Autorin bzw. den Autor:

Paul Teetor is a quantitative developer with Masters degrees in statistics and computer science. He specializes in analytics and software engineering for investment management, securities trading, and risk management. He works with hedge funds, market makers, and portfolio managers in the greater Chicago area.

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Bibliografische Details

Titel: R Cookbook
Verlag: O'Reilly Media
Erscheinungsdatum: 2011
Einband: Softcover
Zustand: As New

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