Sorting DataFrame in R using Dplyr

Last Updated : 28 Jul, 2021

In this article, we will discuss about how to sort a dataframe in R programming language using Dplyr package. The package Dplyr in R programming language provides a function called arrange() function which is useful for sorting the dataframe.

Syntax :

arrange(.data, ...)

The methods given below show how this function can be used in various ways to sort a dataframe.

Sorting in Ascending order

Sorting in ascending order is the default sorting order in arrange() function. The attribute to sort by should be given as an argument to this function.

Example: Sorting the dataframe in ascending order

# Installing the loading the package
install.packages("dplyr")

library(dplyr)

# Creating dataframe
gfg = data.frame(Customers = c("Roohi", "James", "Satish", "Heera", 
                               "Sehnaaz", "Joe","Raj", "Simran", 
                               "Priya","Tejaswi"),
                 
                 Product = c("Product A", "Product B", "Product C",
                             "Product A", "Product D", "Product B",
                             "Product D", "Product C", "Product D",
                             "Product A"),
                 
                 Salary = c(514.65, 354.99, 345.44, 989.56, 767.50,
                            576.90, 878.67, 904.56,123.45, 765.78)
                )

gfg                

# Sorting the dataframe in ascending order
arrange(gfg, Salary)

Output :

Sorting in Descending order

For sorting our dataframe in descending order, we will use desc() function along with the arrange() function. We will also use % operator for comparison of the dataframe column which we are taking for sorting purpose.

Example: Sorting the dataframe in descending order

library(dplyr)

# Creating dataframe
gfg = data.frame(Customers = c("Roohi", "James", "Satish", "Heera",
                               "Sehnaaz", "Joe", "Raj", "Simran", 
                               "Priya", "Tejaswi"),
                 
                 Product = c("Product A", "Product B", "Product C",
                             "Product A", "Product D", "Product B",
                             "Product D", "Product C", "Product D",
                             "Product A"),
                 
                 Salary = c(514.65, 354.99, 345.44, 989.56, 767.50, 
                            576.90, 878.67, 904.56,123.45, 765.78))               

# Sorting the dataframe in descending 
# order
gfg %>% arrange(desc(Salary))

Output :

Sorting the dataframe using multiple variables

We will now sort our dataframe using multiple variables using the arrange() function. The attributes should be given to the function separated by a column. For example, in the given example the dataframe is sorted by salary column in descending order and product column in ascending order. We will use the % operator for comparing data to be sorted in descending order.

Example: Sorting the dataframe using multiple variables

library(dplyr)

# Creating dataframe
gfg = data.frame(Customers = c("Roohi", "James", "Satish", "Heera",
                               "Sehnaaz", "Joe", "Raj", "Simran", 
                               "Priya", "Tejaswi"),
                 
                 Product = c("Product A", "Product B", "Product C",
                             "Product A", "Product D", "Product B",
                             "Product D", "Product C", "Product D", 
                             "Product A"),
                 
                 Salary = c(514.65, 354.99, 345.44, 989.56, 767.50, 
                            576.90, 878.67, 904.56,123.45, 765.78))
               
# Sorting the dataframe using 
# multiple variables
gfg %>% arrange(Product, desc(Salary))

Output :

R Programming Language - Introduction

mishrapratikshya12

Improve

Article Tags :

Sorting DataFrame in R using Dplyr

Sorting in Ascending order

Sorting in Descending order

Sorting the dataframe using multiple variables

Similar Reads

Introduction

Fundamentals of R

Variables

Input/Output

Control Flow

Functions

Data Structures

Object Oriented Programming

Error Handling

Thank You!

What kind of Experience do you want to share?