%in% operator in R along with pipe operator is used for multiple purpose, one of its usage is that it is used to identify if an element belongs to a vector or Dataframe. Let see an example on how to use the %in% operator for vector and Dataframe in R.

- Use %in% operator to Check value in a vector.
- Use %in% operator to Check if one vector present in another vector.
- Check if any value in of one vector present in another vector.
- Check if all value in one vector present in another vector.
- Filter dataframe using %in% operator in R
- select column of a dataframe in R using %in% operator.
- create new variable of a column using %in% operator
- drop column of a dataframe in R using %in% operator.

### USAGE of %in% Operator in R Vector:

**Example of %in% operator in R for Vectors**

Check if a value is present in the vector . Check Is value v1 present in the vector t.

# R %in% operator v1 <- 3 v2 <- 101 t <- c(1,2,3,4,5,6,7,8) v1 %in% t

In the above example **v1** is present in **t, **so the output will be

[1] TRUE

# R %in% operator V2 %in% t

V2 is not present in t, so the output will be

[1] FALSE

#### Check if one vector present in another vector:

# R %in% operator vec1 <- c(1,3,4,5,13,33,79,43) vec2 <- c(1,2,5,34) vec2 %in% vec1

Check Vector vec2 is present in the vector vec1, so the output will be

[1] TRUE FALSE TRUE FALSE

#### Check if any value in of one vector present in another vector:

# R %in% operator vec1 <- c(1,3,4,5,13,33,79,43) vec2 <- c(1,2,5,34) any(vec2 %in% vec1)

Check if any value of Vector vec2 is present in the vector vec1, so the output will be

[1] TRUE

#### Check if all value in of one vector present in another vector:

**Example 1:**

# R %in% operator vec1 <- c(1,3,4,5,13,33,79,43) vec2 <- c(1,2,5,34) all(vec2 %in% vec1)

Check if all values of vector vec2 is present in the vector vec1, so the output will be

[1] FALSE

**Example 2:**

# R %in% operator vec1 <- c(1,3,4,5,13,33,79,43) vec2 <- c(1,5,34) all(vec2 %in% vec1)

Check if all values of vector vec2 is present in the vector vec1, so the output will be

[1] TRUE

#### Get the Index of the Vector using %in% operator in R:

**Example 1:**

To Get the index of the vector in R, we use %in% operator along with which() function.

# R %in% operator vec1 <- c(1,3,4,5,13,33,79,43) which(vec1 %in% 13)

which() function will take the value and returns the position of value in the vector vec1, so the output will be

[1] 5

**Example 2:**

To Get the index of the vector, we use %in% operator along with which() function.

# R %in% operator vec1 <- c(1,3,4,5,13,33,79,43) which(vec1 %in% 4)

which() function will take the value and returns the position of the value in vector vec1, so the output will be

[1] 3

### USAGE of in Operator in R Dataframe:

#### Create column using %in% operator in R:

Lets create my_basket dataframe in order to depict an example of create column using %in% operator and some other operations

### Create dataframe in R my_basket = data.frame(ITEM_GROUP = c("Fruit","Fruit","Fruit","Fruit","Fruit","Vegetable","Vegetable","Vegetable","Vegetable","Dairy","Dairy","Dairy","Dairy","Dairy"), ITEM_NAME = c("Apple","Banana","Orange","Mango","Papaya","Carrot","Potato","Brinjal","Raddish","Milk","Curd","Cheese","Milk","Paneer"), Price = c(100,80,80,90,65,70,60,70,25,60,40,35,50,60), Tax = c(2,4,5,NA,2,3,NA,1,NA,4,5,NA,4,NA)) my_basket

so the resultant dataframe will be

now lets use %in% operator to create a new variable

### Create a new variable using %in% operator in R my_basket1=within(my_basket,{ IS_DAIRY='NO' IS_DAIRY[ITEM_NAME %in% c('Milk',"Curd","Cheese","Paneer")]='YES' IS_DAIRY[ITEM_GROUP %in% c("Dairy")]='YES' IS_DAIRY[ITEM_GROUP %in% c("Fruit","Vegetable")]='NO' }) my_basket1

In order to create a new variable namely “**IS_DAIRY**“, we will be using %in% operator which will assign YES if the ITEM_GROUP is Dairy or ITEM_NAME is Dairy products. Else it will assign NO.

**Filter dataframe using %in% operator **

### Filter a dataframe using %in% operator in R df_filter<- my_basket [my_basket$ITEM_GROUP %in% c('Fruit'), ] df_filter

In order to perform filter we will be using in operator and stored into a new dataframe. using %in% operator which will filter Fruit in ITEM_GROUP Column. so the resultant dataframe will be

**Drop column using %in% operator **

dropping a column can also accomplished using %in% operator as shown below.

### Drop column using %in% operator in R my_basket[, !(colnames(my_basket) %in% c("Tax"))]

we will be dropping a column name that has “Tax”, so the resultant table will be

**select columns using %in% operator **

selecting column names can also accomplished using %in% operator, as shown below. which selects the list of column names using select_if() function along with pipe(%>%) and %in% operator.

### select columns using %in% operator in R my_basket %>% select_if(names(.) %in% c('Price', 'ITEM_GROUP', 'ITEM_NAME'))

we will be selecting some column names , so the resultant table will be

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