R by Example, 2nd Ed (Springer)
Monday, 06 January 2025

Exhorting "Use R!" on the cover, this book is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. Maria Rizzo and Jim Albert present R functions in the context of interesting applications with real data. The book is aimed at users who have at least the equivalent of  undergraduate level calculus-based courses in statistics. The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods.

<ASIN:3031760735 >

Author: Maria Rizzo and Jim Albert
Publisher: Springer
Date: December 2024
Pages: 472
ISBN: 978-3031760730
Print: 3031760735
Kindle: B0DPZ63VXB
Audience: Statisticians wanting to learn R
Level: Intermediate/Advanced
Category: Data Science and Other Languages

 

For recommendations of books on data science see Reading Your Way Into Big Data and Best Books For Data Science in our Programmer's Bookshelf section.

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Date: September 2024
Pages: 192
ISBN: 978-1787910119
Print: 1787910113
Kindle: B0DBHZRZGM
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Rating: 4
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Publisher: Manning
Date: February 2022
Pages: 272
ISBN: 978-1617298370
Print: 1617298379
Kindle: B09Q3PJQC5
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