A first course in statistical programming with R

by Braun, John

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Title Statements

Full title :A first course in statistical programming with R / W. John Braun and Duncan J. Murdoch.

Summary

DescriptionContentsResourcesCoursesAbout the AuthorsThis 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.

Edition Statements

Publication Date:2021.
Edition:3rd ed

Publication Statements

Publisher(s):Cambridge University Press
Place of Publication:Cambridge
Language:eng
Publication Date:2021.

Notes

Incluye índice.

The Physical Object

Description:xx, 260 p. : : il. ; : 25 cm.

Edition Identifiers

ISBN:9781108995146, 1108995144
oclc:on1284920490

Subjects

Estadística matemática -- Informática R (Computer program language) R (Langage de programmation) R (Lenguaje de programación) Statistics -- Data processing Statistique -- Informatique