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

Visit Page
Books by him and info about author and more.

Are you a Author?
Learn more here

Write a review
Save 30%
Write a review
MRP: 1,02500
You Pay: 72028
You save: ₹304.72
Leadtime to ship in days (default): Usually Ships in 1-2 Days
In stock
Price in points: 721 points

Minimum quantity for "R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics" is 1.

Our advantages

  • — Different payment methods
  • — Best price

    Payment options
    Leadtime to ship in days (default)Usually Ships in 1-2 Days

    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

    About the Author
    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.

    Table of Contents

    Chapter 1 Getting Started and Getting Help

    Chapter 2 Some Basics

    Chapter 3 Navigating the Software

    Chapter 4 Input and Output

    Chapter 5 Data Structures

    Chapter 6 Data Transformations

    Chapter 7 Strings and Dates

    Chapter 8 Probability

    Chapter 9 General Statistics

    Chapter 10 Graphics

    Chapter 11 Linear Regression and ANOVA

    Chapter 12 Useful Tricks

    Chapter 13 Beyond Basic Numerics and Statistics

    Chapter 14 Time Series Analysis


    Paul Teetor
    Condition Type
    Country Origin
    Gift Wrap
    Leadtime to ship in days (default)
    Usually Ships in 1-2 Days
    Publication Date
    Dimensions (W x H x D)
    23 x 18 x 2.5 cms

    No reviews found

    Possibly you may be interested
    • Most Popular
    • Bestsellers
    • Recently Viewed
    Fast and high quality delivery

    Our company makes delivery all over the country

    Quality assurance and service

    We offer only those goods, in which quality we are sure

    Returns within 30 days

    You have 30 days to test your purchase