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A First Course in Statistical Programming with R

Authors

W. John Braun
, University of British Columbia,
Duncan J. Murdoch
, University of Western Ontario
Published 2021

Description

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 real R code that teaches the standards of…

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Key features

  • Self-contained and accessible to anyone familiar with university-level calculus
  • The basics of R syntax, statistical graphics, and the tidyverse are explained with real R code
  • Programming ideas, including good, efficient style and debugging, are introduced
  • Applications in simulation and optimization as well as numerical linear algebra are discussed

About the book

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