Page 23 - Applied Statistics with R

3.2. DATA STRUCTURES 23

stay consistent. Also, if working on a larger collaborative project, you should
use whatever style is already in place.

Because vectors must contain elements that are all the same type, R will au-
tomatically coerce to a single type when attempting to create a vector that
combines multiple types.

c(42, "Statistics", TRUE)

## [1] "42" "Statistics" "TRUE"

c(42, TRUE)

## [1] 42 1

Frequently you may wish to create a vector based on a sequence of numbers.
The quickest and easiest way to do this is with the : operator, which creates a
sequence of integers between two specified integers.

(y = 1:100)

## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
## [19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
## [37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
## [55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
## [73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
## [91] 91 92 93 94 95 96 97 98 99 100

Here we see R labeling the rows after the first since this is a large vector. Also,
we see that by putting parentheses around the assignment, R both stores the
vector in a variable called y and automatically outputs y to the console.

Note that scalars do not exists in R. They are simply vectors of length 1.

2

## [1] 2

If we want to create a sequence that isn’t limited to integers and increasing by
1 at a time, we can use the seq() function.