Bare-Bones R

A Brief Introductory Guide
Thomas P. Hogan - University of Scranton, USA
Bare-Bones R
November 2009 | 96 pages | Sage US
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Description

Bare-Bones R provides a practical, hands-on introduction to the elements of R and R Commander. Assuming no background in computer programming, author Thomas P. Hogan guides the novice in using these valuable tools for statistical analysis. The book walks the reader through steps for downloading and then works through examples of basic statistical processing.

A Student Study Site contains downloadable data sets used in the text as well as selected updates for R.

Contents

Table of Contents

Table of Contents

Preface

Preface

Acknowledgments

Acknowledgments

About the Author

About the Author

Part 1: Base R

  • 1-1: What is R?
  • 1-2: R's Up's and Down's
  • 1-3: Getting Started: Loading R
  • 1-4: Getting Started Really: Using R as a Calculator
  • 1-5: Creating a Data Set
  • 1-6: Using R Functions: Simple Ones
  • 1-7: Reading in Larger Data Sets
  • 1-8: Getting Help
  • 1-9: Dealing with Missing Data
  • 1-10: Using R Functions: Hypothesis-tests
  • 1-11: R Functions for Commonly Used Statistics
  • 1-12: Two COmmands for Managing Your Files
  • 1-13: R Graphics
  • Chapter 2: R Commander?
  • 2-1: What is R Commander
  • 2-2: R Commander Windows and Menus
  • 2-3: The Data Menu
  • 2-4: The Statistics Menu
  • 2-5: The Graphics Menu
  • 2-6: The Distributions Menu: Two Quick Examples
  • Chapter 3: Some Other Stuff
  • 3-1: A Few Other Ways to Enter Data
  • 3-2: Exporting R Results
  • 3-3: Bonus: Build Your Own Functions
  • 3-4: An Example of an Add-on Package
  • 3-5: Keeping Up to Date
  • 3-6: Going Further: Selected References

Handy List of a Few Crucial Commands in base R

Handy List of a Few Crucial Commands in base R

Going Further: Selected References

Going Further: Selected References

Additional materials

Description

Bare-Bones R provides a practical, hands-on introduction to the elements of R and R Commander. Assuming no background in computer programming, author Thomas P. Hogan guides the novice in using these valuable tools for statistical analysis. The book walks the reader through steps for downloading and then works through examples of basic statistical processing.

A Student Study Site contains downloadable data sets used in the text as well as selected updates for R.

Contents

Table of Contents

Table of Contents

Preface

Preface

Acknowledgments

Acknowledgments

About the Author

About the Author

Part 1: Base R

  • 1-1: What is R?
  • 1-2: R's Up's and Down's
  • 1-3: Getting Started: Loading R
  • 1-4: Getting Started Really: Using R as a Calculator
  • 1-5: Creating a Data Set
  • 1-6: Using R Functions: Simple Ones
  • 1-7: Reading in Larger Data Sets
  • 1-8: Getting Help
  • 1-9: Dealing with Missing Data
  • 1-10: Using R Functions: Hypothesis-tests
  • 1-11: R Functions for Commonly Used Statistics
  • 1-12: Two COmmands for Managing Your Files
  • 1-13: R Graphics
  • Chapter 2: R Commander?
  • 2-1: What is R Commander
  • 2-2: R Commander Windows and Menus
  • 2-3: The Data Menu
  • 2-4: The Statistics Menu
  • 2-5: The Graphics Menu
  • 2-6: The Distributions Menu: Two Quick Examples
  • Chapter 3: Some Other Stuff
  • 3-1: A Few Other Ways to Enter Data
  • 3-2: Exporting R Results
  • 3-3: Bonus: Build Your Own Functions
  • 3-4: An Example of an Add-on Package
  • 3-5: Keeping Up to Date
  • 3-6: Going Further: Selected References

Handy List of a Few Crucial Commands in base R

Handy List of a Few Crucial Commands in base R

Going Further: Selected References

Going Further: Selected References

Additional materials

SAGE Publishing Logo

Bare-Bones R

A Brief Introductory Guide


November 2009 | 96 pages | Sage US

Format Published Date ISBN Price

Bare-Bones R provides a practical, hands-on introduction to the elements of R and R Commander. Assuming no background in computer programming, author Thomas P. Hogan guides the novice in using these valuable tools for statistical analysis. The book walks the reader through steps for downloading and then works through examples of basic statistical processing.

A Student Study Site contains downloadable data sets used in the text as well as selected updates for R.


Table Of Contents:

  • Table of Contents
  • Preface
  • Acknowledgments
  • About the Author
  • Part 1: Base R
  • 1-1: What is R?
  • 1-2: R's Up's and Down's
  • 1-3: Getting Started: Loading R
  • 1-4: Getting Started Really: Using R as a Calculator
  • 1-5: Creating a Data Set
  • 1-6: Using R Functions: Simple Ones
  • 1-7: Reading in Larger Data Sets
  • 1-8: Getting Help
  • 1-9: Dealing with Missing Data
  • 1-10: Using R Functions: Hypothesis-tests
  • 1-11: R Functions for Commonly Used Statistics
  • 1-12: Two COmmands for Managing Your Files
  • 1-13: R Graphics
  • Chapter 2: R Commander?
  • 2-1: What is R Commander
  • 2-2: R Commander Windows and Menus
  • 2-3: The Data Menu
  • 2-4: The Statistics Menu
  • 2-5: The Graphics Menu
  • 2-6: The Distributions Menu: Two Quick Examples
  • Chapter 3: Some Other Stuff
  • 3-1: A Few Other Ways to Enter Data
  • 3-2: Exporting R Results
  • 3-3: Bonus: Build Your Own Functions
  • 3-4: An Example of an Add-on Package
  • 3-5: Keeping Up to Date
  • 3-6: Going Further: Selected References
  • Handy List of a Few Crucial Commands in base R
  • Going Further: Selected References

Recent Product Reviews:

Content can be found fairly easily online so cost is not justified.
Mr Rafael Garcia, Psychology Dept, University of Arizona
I haven't decided to jump into the R "pool" just yet. I am still considering having my online social statistics students use R so I am carefully working my way through the book with the hope that I will switch from SPSS to R in the not too distant future. R is a much more cost effective way to teach stats in the online environment."
Dr John Rausch, History Political Science Dept, West Texas A & M University
It does not fit my class well.
Professor Xiaogang Deng, Sociology Dept, University of Massachusetts
Usefull for enttry level students but it needs to include a chapter on EDA and another on a couple of more advanced topics such as Regression and ANOVA.
Dr Christos Makrigeorgis, School Of Management, Walden University
Bare-Bones really does describe this book. There really is nothing in it.
Dr Vonda Walsh, Math Computer Science Dept, Virginia Military Institute

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