Introductory Statistics with R
R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development. This book provides an elementary-level introducti...
Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer New York
2008, 2008
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Edition: | 2nd ed. 2008 |
Series: | Statistics and Computing
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Basics
- The R environment
- Probability and distributions
- Descriptive statistics and graphics
- One- and two-sample tests
- Regression and correlation
- Analysis of variance and the Kruskal–Wallis test
- Tabular data
- Power and the computation of sample size
- Advanced data handling
- Multiple regression
- Linear models
- Logistic regression
- Survival analysis
- Rates and Poisson regression
- Nonlinear curve fitting