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R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

PAPERBACK

30 Jul, 2019

By Jd Long (author), Paul Teetor (author)

Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everythi...

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Last updated on 01 Feb, 2026

ISBN-10:

1492040681

ISBN-13:

9781492040682

Publisher

O'Reilly Media

Dimensions

9.19 X 7.00 X 1.21 inches

Language

English

Description

Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression.

Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an intermediate user, this book 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 basic functions
  • Simplify data input and output
  • 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

Product Details

ISBN-10

:1492040681

ISBN-13

:9781492040682

Publisher

:O'Reilly Media

Publication date

: 30 Jul, 2019

Edition

:0002nd Edition

Category

: Computer & Internet

Sub-Category

: Mathematical & Statistical Software

Format

:PAPERBACK

Language

:English

Reading Level

: All

No. of Units

:1

Dimension

: 9.19 X 7.00 X 1.21 inches

Weight

:1.017 Kg

About the Author

J.D. Long is a misplaced southern agricultural economist currently working for Renaissance Re in New York City. J.D. is an avid user of Python, R, AWS and colorful metaphors, and is a frequent presenter at R conferences as well as the founder of the Chicago R User Group. He lives in Jersey City, NJ with his wife, a recovering trial lawyer, and his 11-year-old circuit bending daughter.

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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