Computational Statistics: An Introduction to R

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CRC Press, Jan 26, 2009 - Mathematics - 264 pages
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Suitable for a compact course or self-study, 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 one-sample analysis and distribution diagnostics, regression, two-sample 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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Contents

Basic Data Analysis
1
Regression
59
Comparisons
107
Dimensions 1 2 3 1
139
R as a Programming Language and Environment
193
References
233
Functions and Variables by Topic
237
Color Plates
245
Back cover
253
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