Learning R

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Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you'll learn how to use the essential R tools you need to know to analyze data, including data types and programming...

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Bibliographic Details
Main Author: Richard Cotton
Format: Printed Book
Published: Mumbai Shroff Publishers & Distributors Pvt.Ltd. 2013
Subjects:
R (Computer program language) Statistics > Data processing. Software > statistics & numerical data.
Table of Contents:
  • Introduction
  • A scientific calculator
  • Inspecting variables and your workspace
  • Vectors, matrices, and arrays
  • Lists and data frames
  • Environments and functions
  • Strings and factors
  • Flow control and loops
  • Advanced looping
  • Packages
  • Dates and times
  • Getting data
  • Cleaning and transforming
  • Exploring and visualizing
  • Distributions and modeling
  • Programming
  • Making packages.

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