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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_10

10. Working with Vectors and Lists

Thomas Mailund1  
(1)
Aarhus, Denmark
 

In this chapter, we explore working with vectors and lists a little further. We will not cover anything that is conceptually more complex that we did in the previous chapter. It is just a few more technical details we will dig into.

Working with Vectors and Vectorizing Functions

We start out by returning to expressions. In the previous chapter, we saw expressions on single (scalar) values, but we also saw that R doesn’t really have scalar values; all the primitive data we have is actually vectors of data. What this means is that the expressions we use in R are actually operating ...

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

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Publisher Resources

ISBN: 9781484281550Purchase LinkPublisher Website