How to find the sum of column values of an R dataframe?

In this article, we are going to find the sum of the column values of a dataframe in R with the use of sum() function.

Syntax:

sum(dataframe$column_name)

Creating a Dataframe

A dataframe can be created with the use of data.frame() function that is pre-defined in the R library. This function accepts the elements and the number of rows and columns that are required for the dataframe to be created.

Following is an R Program for the creation of dataframe:

R

# R Program to create a dataframe

# Creating a Data Frame
df<-data.frame(row1 = 0:2, row2 = 3:5, row3 = 6:8)
print(df)

Output:

  row1 row2 row3
1    0    3    6
2    1    4    7
3    2    5    8

Computing Sum of Column Values

R language provides an in-built function sum() to compute the mean of a dataframe. Following is an R program for the implementation of sum().

R

# Computing sum of column values

# Using sum() function
sum(df$row1)
sum(df$row2)

Output:

3
12

Example 2:

R

# R program to illustrate dataframe
Roll_num = c(01, 02, 03)
Age = c(22, 25, 45)
Marks = c(70, 80, 90)

# To create dataframe use data.frame command and
# then pass each of the vectors
# we have created as arguments
# to the function data.frame()
df = data.frame(Roll_num, Age, Marks)
print(df)

# Computing Sum using sum() function
sum(df$Roll_num)
sum(df$Age)
sum(df$Marks)

Output:

6
92
240

Example 3:

R

# R program to illustrate dataframe
ID = c(01, 02, 03)
Age = c(25, 30, 70)
Salary = c(70000, 85000, 40000)

# To create dataframe use data.frame command and
# then pass each of the vectors
# we have created as arguments
# to the function data.frame()
df = data.frame(ID, Age, Salary)

# Computing total salary
cat("Total Salary =", sum(df$Salary))

Output:

195000