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A First Course in Statistical Programming with R

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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 the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data science.

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Series Title

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Call Number

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Publisher

: Cambridge University Press., 2021

Collation

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Language

English

ISBN/ISSN

9781108993456

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Statistics and Probability
Psychology Research Methods and Statistics,
Computational Statistics, Machine Learning

Specific Detail Info

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Statement of Responsibility

W. John Braun,Duncan J. Murdoch

Other Information

Cataloger

Arin

Source

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Validator

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Digital Object Identifier (DOI)

https://doi.org/10.1017/9781108993456

Journal Volume

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