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...
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| Format: | Electronic eBook |
| Language: | English |
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New York, NY :
Springer New York,
2008.
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| Series: | Statistics and Computing,
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| Online Access: | Full Text via HEAL-Link |
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.