Lists

(Sections 9.1-9.2)

Lists

Non-Atomic Vectors

Lists: a new data structure in R.

Lists are non-atomic vectors. (Their elements don’t all have to be the same type of data.)

Example:

lst1 <- list(name = "Dorothy", age = 12)

lst1

lst1

$name
[1] "Dorothy"

$age
[1] 12

Another Example

df <- data.frame(x = c(10, 20, 30), y = letters[1:3])
lst2 <- list(
  vowels = c("a", "e", "i", "o", "u"),
  myFrame = df
)
lst2

$vowels
[1] "a" "e" "i" "o" "u"

$myFrame
   x y
1 10 a
2 20 b
3 30 c

Yet Another Example

lst3 <- list(
  nums = 10:20,
  bools = c(TRUE, FALSE, FALSE),
  george = lst1
)
lst3

$nums
 [1] 10 11 12 13 14 15 16 17 18 19 20

$bools
[1]  TRUE FALSE FALSE

$george
$george$name
[1] "Dorothy"

$george$age
[1] 12

Empty Lists

You can make an empty list, too:

emptyList <- list()
emptyList

list()

Accessing and Sub-Setting

Accessing List Elements

If a list element has a name, then you can get to it with the $:

lst1

$name
[1] "Dorothy"

$age
[1] 12

Accessing

You can get to elements of a list inside a list in the same way:

lst3

$nums
 [1] 10 11 12 13 14 15 16 17 18 19 20

$bools
[1]  TRUE FALSE FALSE

$george
$george$name
[1] "Dorothy"

$george$age
[1] 12

lst3$george$age

[1] 12

Sub-Setting

This works with the [-operator (just as with vectors). The result is another list, as with vectors.

Sub-Setting

Sub-setting a list yields another list, even when your numerical “location” vector has only one element.

Getting to the Contents of an Element

Two ways:

• $ if the element has a name:

• [[-operator always works.

Unlisting

This “flattens” the list into a vector:

lst1

$name
[1] "Dorothy"

$age
[1] 12

If elements are of different data types then they are coerced to be of the same type.