Computational Statistics: An Introduction To R

Computational Statistics: An Introduction To R

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Suitable For A Compact Course Or Selfstudy, Computational Statistics: An Introduction To R Illustrates How To Use The Freely Available R Software Package For Data Analysis, Statistical Programming, And Graphics. Integrating R Code And Examples Throughout, The Text Only Requires Basic Knowledge Of Statistics And Computing.This Introduction Covers Onesample Analysis And Distribution Diagnostics, Regression, Twosample Problems And Comparison Of Distributions, And Multivariate Analysis. It Uses A Range Of Examples To Demonstrate How R Can Be Employed To Tackle Statistical Problems. In Addition, The Handy Appendix Includes A Collection Of R Language Elements And Functions, Serving As A Quick Reference And Starting Point To Access The Rich Information That Comes Bundled With R.Accessible To A Broad Audience, This Book Explores Key Topics In Data Analysis, Regression, Statistical Distributions, And Multivariate Statistics. Full Of Examples And With A Color Insert, It Helps Readers Become Familiar With R.

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We provide a 2-year limited warranty, from the date of purchase for all our products.

If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.

This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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Frequently Asked Questions

  • Q: What is the main focus of 'Computational Statistics: An Introduction to R'? A: The book primarily focuses on using the R software package for data analysis, statistical programming, and graphics, making it suitable for both compact courses and self-study.
  • Q: Who is the author of this book? A: The author of 'Computational Statistics: An Introduction to R' is Günther Sawitzki.
  • Q: What topics are covered in this book? A: The book covers one-sample analysis, distribution diagnostics, regression, two-sample problems, comparison of distributions, and multivariate analysis.
  • Q: Is prior knowledge of statistics required to use this book? A: No, the book only requires a basic knowledge of statistics and computing to understand the content.
  • Q: What type of format is this book available in? A: This book is available in hardcover format.
  • Q: How many pages does the book have? A: The book consists of 274 pages.
  • Q: When was 'Computational Statistics: An Introduction to R' published? A: The book was published on January 26, 2009.
  • Q: What condition is the book in? A: The book is in new condition.
  • Q: Does the book include examples and practical applications? A: Yes, the book is full of examples and includes R code to demonstrate how R can be used to tackle statistical problems.
  • Q: Is there any additional resource included in the book? A: Yes, there is a handy appendix that includes a collection of R language elements and functions for quick reference.