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Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist
book

Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist

by Thomas Mailund
June 2022
Beginner
528 pages
10h 39m
English
Apress
Content preview from Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist
© Thomas Mailund 2022
T. MailundBeginning Data Science in R 4https://doi.org/10.1007/978-1-4842-8155-0_9

9. Deeper into R Programming

Thomas Mailund1  
(1)
Aarhus, Denmark
 

In this chapter, we leave data analysis and return to programming and software development, topics that are the focus of the remaining chapters of the book. In the first chapter, you took a tutorial introduction to R programming, but we left out a lot of details. This chapter will cover many of those details, while the next two chapters will cover more advanced aspects of R programming: functional programming and object-oriented programming.

Expressions

We begin the chapter by going back to expressions. Everything we do in R involves evaluating expressions. Most expressions we evaluate ...

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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

Thomas Mailund

Publisher Resources

ISBN: 9781484281550Purchase LinkPublisher Website