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R Quick Syntax Reference

  • Authors
  • MargotĀ Tollefson

Table of contents

  1. Front Matter
    Pages vii-xiv
  2. R Basics

    1. Front Matter
      Pages 1-1
    2. Margot Tollefson
      Pages 3-8
    3. Margot Tollefson
      Pages 9-10
    4. Margot Tollefson
      Pages 11-22
  3. Kinds of Objects

    1. Front Matter
      Pages 23-23
    2. Margot Tollefson
      Pages 25-36
    3. Margot Tollefson
      Pages 37-56
  4. Functions

    1. Front Matter
      Pages 57-57
    2. Margot Tollefson
      Pages 59-63
    3. Margot Tollefson
      Pages 65-70
    4. Margot Tollefson
      Pages 71-75
  5. Inputting and Creating Data, Outputting Data and Output, and Manipulating Objects

    1. Front Matter
      Pages 77-77
    2. Margot Tollefson
      Pages 79-94
    3. Margot Tollefson
      Pages 95-103
    4. Margot Tollefson
      Pages 105-125
  6. Flow Control

    1. Front Matter
      Pages 127-127
    2. Margot Tollefson
      Pages 129-132
    3. Margot Tollefson
      Pages 133-143
    4. Margot Tollefson
      Pages 145-150
  7. Some Common Functions, Packages, and Techniques

    1. Front Matter
      Pages 151-151
    2. Margot Tollefson
      Pages 153-162
    3. Margot Tollefson
      Pages 163-188
    4. Margot Tollefson
      Pages 189-196
  8. Back Matter
    Pages 197-201

About this book

Introduction

The R Quick Syntax Reference is a handy reference book detailing the intricacies of the R language. Not only is R a free, open-source tool, R is powerful, flexible, and has state of the art statistical techniques available. With the many details which must be correct when using any language, however, the R Quick Syntax Reference makes using R easier.

Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an expression quick and easy. With a copy of the R Quick Syntax Reference in hand, you will find that are able to use the multitude of functions available to the R user and are even able to write your own functions to explore and analyze data.

  • Takes you through learning R, from download to statistical analysis.
  • Clears the confusion around object types and how to use and convert the types.
  • Tells you how to search for statistical techniques using the R help pages.

Bibliographic information