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instructors will find lots of interesting material to use in a variety of courses. In addition, most non-expert users of R will enjoy reading the book and learn a few .
Table of contents
- Computational Statistics
- Computational Statistics: An Introduction to R by G. Sawitzki - PDF Drive
- View Computational Statistics : An Introduction To R
- An Introduction to R, 1st Edition
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. Read more Read less.
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Mildenberger, Statistical Papers , July For those who want to learn R and have a good statistics background, this book is a good choice. No customer reviews.
Computational Statistics: An Introduction to R by G. Sawitzki - PDF Drive
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Hard to understand. I hope to participate in the future courses also, especially the ones on statistics and graphics! You must be logged in to post a comment. This site uses Akismet to reduce spam. Learn how your comment data is processed.
An Introduction to R, 1st Edition
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