# Statistical Analysis: an Introduction using R/R/Constructing vectors

#### Constructing vectors

One of the most fundamental objects in R is the vector. This is a collection of multiple measurements of the same type, so can be used to store data variables. R provides several ways to create a vector
• For a simple sequence of numbers from a to b, the easiest way is to use the notation a:b.
• Many functions return vectors. Two of the most useful are "seq()" and "c()". The function "seq()" produces sequences of numbers, similar to a:b, but with more flexibility. The function "c" concatenates objects together into a vector, and so can be used to construct an arbitrary vector.
###### Input:
```1 0:10            #Creates a vector of 10 numbers consisting of the integers 0 to 10
2 seq(0,10)            #Creates a vector of 10 numbers consisting of the integers 0 to 10
3 my.data <- 0:10
4 c(2,3,6,6,6)      #Creates a vector of 5 numbers
5 c(2,3,6,6,6) + 1  #N.B. you can do all the normal calculations on vectors
```
###### Result:
```> 99:150            #Creates a vector of 52 numbers consisting of the integers 99 to 150
foo
  99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123
 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148
 149 150
> c(2,3,6,6,6)      #Creates a vector of 5 numbers
 2 3 6 6 6
> c(2,3,6,6,6) + 1  #N.B. you can do all the normal calculations on vectors
 3 4 7 7 7
```