A First Course in Statistical Programming with R
$143.72
- Paperback
280 pages
- Release Date
20 May 2021
Summary
This third edition of Braun and Murdoch’s bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout.
This is the only introduction you’ll need to start programming in R, the computing standard for analyzing data. This book comes with…
Book Details
| ISBN-13: | 9781108995146 |
|---|---|
| ISBN-10: | 1108995144 |
| Author: | W. John Braun, Duncan J. Murdoch |
| Publisher: | Cambridge University Press |
| Imprint: | Cambridge University Press |
| Format: | Paperback |
| Number of Pages: | 280 |
| Edition: | 3rd |
| Release Date: | 20 May 2021 |
| Weight: | 600g |
| Dimensions: | 245mm x 188mm x 15mm |
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About The Author
W. John Braun
W. John Braun is Professor of Statistics at UBC’s Okanagan campus. His research interests are in the modeling of environmental phenomena, such as wildfire, as well as statistical education, particularly as it relates to the R programming language.
Duncan J. Murdoch is a Professor Emeritus and was a member of the R Core Team of developers and co-president of the R Foundation. He is one of the developers of the rgl package for 3D visualization in R, and has also developed numerous other R packages.
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