First Course in Statistical Programming With R

This book is for students who are learning computing to use in data science and scientific applications. It takes the reader from basic principles of computing to numerical methods, using the R programming language. Worked examples, hundreds of exercises, and downloadable code, datasets, and solutions make a complete package.

List of contents

1. Getting Started; 2. Introduction to the R Language; 3. Programming Statistical Graphics; 4. Programming with R; 5. Complex Programming in the Tidyverse; 6. Simulation; 7. Computational Linear Algebra; 8. Numerical Optimization; A. Review of Random Variables and Distributions; B. Base Graphics Details; Index.

About the author

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.

Summary

This book is for students who are learning computing to use in data science and scientific applications. It takes the reader from basic principles of computing to numerical methods, using the R programming language. Worked examples, hundreds of exercises, and downloadable code, datasets, and solutions make a complete package.

Product details

• Authors: W. John Braun, W. John Murdoch Braun, Braun W. John, Duncan J. Murdoch, Duncan J. (University of Western Ontario) Murdoch, Murdoch Duncan J.
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Paperback / Softback
• Released: 31.05.2021
• EAN: 9781108995146
• ISBN: 978-1-108-99514-6
• No. of pages: 280
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Business > General, dictionaries; Economic statistics, Social research & statistics, Probability & statistics, Mathematical & statistical software, Probability and statistics, Social research and statistics, Econometrics and economic statistics, Mathematical and statistical software