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Albert, Jim; Rizzo, Maria L. - R by Example - 9781461413646 - V9781461413646
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R by Example

€ 113.17
FREE Delivery in Ireland
Description for R by Example Paperback. 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. Series: Use R!. Num Pages: 359 pages, 104 black & white illustrations, 21 colour illustrations, 12 black & white tables, biogra. BIC Classification: PBT; UM. Category: (P) Professional & Vocational. Dimension: 241 x 162 x 25. Weight in Grams: 570.

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 ... Read more

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Product Details

Format
Paperback
Publication date
2011
Publisher
Springer-Verlag New York Inc. United States
Number of pages
375
Condition
New
Series
Use R!
Number of Pages
359
Place of Publication
New York, NY, United States
ISBN
9781461413646
SKU
V9781461413646
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Albert, Jim; Rizzo, Maria L.
Maria Rizzo is Associate Professor in the Department of Mathematics and Statistics at Bowling Green State University. Jim Albert is Professor of Mathematics and Statistics at Bowling Green State University.

Reviews for R by Example
From the reviews: “This book is an example-driven introduction to both R as a programming environment and widely used statistical concepts such as regression, ANOVA, Bayesian modeling, and randomization and simulation experiments. … The book is an excellent addition to the lecture notes for undergraduate and master students as well as a reliable source of examples for lecturers. The ... Read more

Goodreads reviews for R by Example


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