R tip: Quick lookup tables with named vectors

The video tutorial explains how to use named vectors in R for quick lookup tables. It covers the creation of named vectors, using them for lookups, and retrieving values. The tutorial also demonstrates real-world applications, such as using FIPS codes with US Census data. Additionally, it shows how to create functions to simplify lookups and make them more generic for flexible use. The tutorial emphasizes the importance of unique names in named vectors and references Hadley Wickham's Advanced R book.

What is the primary purpose of using named vectors in R?

• To visualize data in graphs

• To create quick lookup tables

• To perform complex mathematical operations

• To sort data alphabetically

How do you retrieve a value from a named vector in R?

• Using the 'get' function

• By specifying the key in brackets

• By using the 'find' function

• By calling the 'lookup' method

What function can be used to get a value without its key in R?

• getValue

• stripKey

• removeKey

• unname

What is the benefit of creating a function for lookups in R?

• It makes the code run faster

• It allows for more elegant and reusable code

• It automatically updates the data

• It provides a graphical interface

What must be unique in a named vector?

• Neither keys nor values

• Both keys and values

• Keys

• Values