R by Example

By Jim Albert , Maria Rizzo

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This example-based general introduction to the statistical computing environment does not assume any previous familiarity with R or other software packages. R functions are compellingly presented in the context of interesting applications with real data.

Full Description

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  • ISBN13: 978-1-4614-1364-6
  • 372 Pages
  • Publication Date: January 28, 2012
  • Available eBook Formats: PDF

Related Titles

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Full Description
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R.
Table of Contents

Table of Contents

  1. Introduction.
  2. Quantitative Data.
  3. Categorical Data.
  4. Presentation Graphics.
  5. Exploratotry Data Analysis.
  6. Basic Inference Models.
  7. Regression.
  8. Analysis of Variance I.
  9. Analysis of Variance II.
  10. Randomiczation tests.
  11. Simulation Experiments.
  12. Bayesian Modeling.
  13. Monte Carlo Methods.
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