# R Vectors

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A vector is the basic data structure in R that stores data of similar types. For example,

Suppose we need to record the age of **5** employees. Instead of creating **5** separate variables, we can simply create a vector.

## Create a Vector in R

In R, we use the `c()`

function to create a vector. For example,

# create vector of string types employees <- c("Sabby", "Cathy", "Lucy") print(employees) # Output: [1] "Sabby" "Cathy" "Lucy"

In the above example, we have created a vector named `employees` with elements: `Sabby`

, `Cathy`

, and `Lucy`

.

Here, the `c()`

function creates a vector by combining three different elements of `employees` together.

## Access Vector Elements in R

In R, each element in a vector is associated with a number. The number is known as a vector index.

We can access elements of a vector using the index number **(1, 2, 3 …)**. For example,

# a vector of string type languages <- c("Swift", "Java", "R") # access first element of languages print(languages[1]) # "Swift" # access third element of languages print(languages[3]). # "R"

In the above example, we have created a vector named `languages`. Each element of the vector is associated with an integer number.

Here, we have used the vector index to access the vector elements

`languages[1]`

- access the first element`"Swift"`

`languages[3]`

- accesses the third element`"R"`

**Note**: In R, the vector index always starts with **1**. Hence, the first element of a vector is present at index **1**, second element at index **2** and so on.

## Modify Vector Element

To change a vector element, we can simply reassign a new value to the specific index. For example,

dailyActivities <- c("Eat","Repeat") cat("Initial Vector:", dailyActivities) # change element at index 2 dailyActivities[2] <- "Sleep" cat("\nUpdated Vector:", dailyActivities)

**Output**

Initial Vector: Eat Repeat Updated Vector: Eat Sleep

Here, we have changed the vector element at index **2** from `"Repeat"`

to `"Sleep"`

by simply assigning a new value.

## Numeric Vector in R

Similar to strings, we use the `c()`

function to create a numeric vector. For example,

# a vector with number sequence from 1 to 5 numbers <- c(1, 2, 3, 4, 5) print(numbers) # Output: [1] 1 2 3 4 5

Here, we have used the `C()`

function to create a vector of numeric sequence called `numbers`.

However, there is an efficient way to create a numeric sequence. We can use the `:`

operator instead of `C()`

.

### Create a Sequence of Number in R

In R, we use the `:`

operator to create a vector with numerical values in sequence. For example,

# a vector with number sequence from 1 to 5 numbers <- 1:5 print(numbers)

**Output**

[1] 1 2 3 4 5

Here, we have used the `:`

operator to create the vector named `numbers` with numerical values in sequence i.e. **1** to **5.**

## Repeat Vectors in R

In R, we use the `rep()`

function to repeat elements of vectors. For example,

# repeat sequence of vector 2 times numbers <- rep(c(2,4,6), times = 2) cat("Using times argument:", numbers)

**Output**

Using times argument: 2 4 6 2 4 6

In the above example, we have created a numeric vector with elements **2, 4, 6**. Notice the code,

rep(numbers, times=2)

Here,

`numbers`

- vector whose elements to be repeated`times = 2`

- repeat the vector two times

We can see that we have repeated the whole vector two times. However, we can also repeat each element of the vector. For this we use the `each`

parameter.

Let's see an example.

# repeat each element of vector 2 times numbers <- rep(c(2,4,6), each = 2) cat("\nUsing each argument:", numbers)

**Output**

Using each argument: 2 2 4 4 6 6

In the above example, we have created a numeric vector with elements **2, 4, 6**. Notice the code,

rep(numbers, each = 2)

Here, `each = 2`

- repeats each element of vector two times

## Loop Over a R Vector

We can also access all elements of the vector by using a for loop. For example,

In R, we can also loop through each element of the vector using the for loop. For example,

numbers <- c(1, 2, 3, 4, 5) # iterate through each elements of numbers for (number in numbers) { print(number) }

**Output**

[1] 1 [1] 2 [1] 3 [1] 4 [1] 5

## Length of Vector in R

We can use the `length()`

function to find the number of elements present inside the vector. For example,

languages <- c("R", "Swift", "Python", "Java") # find total elements in languages using length() cat("Total Elements:", length(languages))

**Output**

Total Elements: 4

Here, we have used `length()`

to find the length of the `languages` vector.

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