Sum of rows in R based on condition

In this article, we will explore various methods to perform the sum of rows in R based on conditions using the R Programming Language.

How to calculate the sum of rows based on the condition?

R language offers various methods to calculate the sum of rows based on the condition. By using these methods provided by R, it is possible to calculate the sum of the rows easily. Some of the methods to perform the sum of rows based on the condition are:

Method 1: Sum of rows based on the single condition

This method calculates the sum of rows based on a single condition. In the below example, we created a data frame and performed the sum of rows based on a single condition.

team=c("csk", "rcb","kxip","csk","gt","rcb")
captain=c("dhoni","kohli","rahul","dhoni","hardik","kohli")
centuries=c(70,64,50,70,35,43)

df = data.frame(team,captain,centuries)
#printing data frame
print(df)

print("Sum of rows based on the single condition")
#sum of scores
with(df, sum(centuries[captain == 'dhoni']))

Output:

    team   captain   centuries
1   csk      dhoni          70
2   rcb     kohli            64
3  kxip    rahul           50
4   csk     dhoni          70
5   gt      hardik         35
6   rcb    kohli            43

[1] "Sum of rows based on the single condition"
[1] 140

In the below example, we created a data frame and performed sum of rows based on a single condition.

df = data.frame(name=c("rakesh", "ravi","mahesh","pavan","satish", "naresh"),
               age=c(12:17),
               place=c("nellore","palanadu","guntur","guntur","palanadu"," prakasam"))

#view data frame
print(df)

print("Sum of rows based on the single condition")
with(df, sum(age[place == "guntur"]))

Output:

      name     age      place
1    rakesh     12       nellore
2    ravi          13      palanadu
3   mahesh   14       guntur
4   pavan      15       guntur
5   satish       16      palanadu
6   naresh     17      prakasam

[1] "Sum of rows based on the single condition"
[1] 29

Method 2: Sum of rows based on the multiple conditions

This method calculates the sum of rows based on a multiple conditions. In the below example, we created a data frame and performed sum of rows based on the multiple conditions.

#creating data frame
df = data.frame(employee = c("x", "y","y","w", "x","z","z"),
                 emp_id = c(4, 7, 7, 4,15, 12, 12),
                 salary = c(30000, 45000, 25000, 40000, 60000, 70000, 55000))

#printing data frame
print(df)

print("Sum of rows based on the multiple conditions")
with(df, sum(salary[emp_id > 7 & employee== 'x']))

Output:

    employee    emp_id      salary
1        x                   4           30000
2        y                   7           45000
3        y                  7            25000
4        w                 4            40000
5        x                 15            60000
6        z                 12            70000
7        z                 12            55000

[1] "Sum of rows based on the multiple conditions"
[1] 60000

In the below example, we created a data frame and performed sum of rows based on the multiple conditions.

vec1=c(4,4,6,7,8,8,9)
vec2=c("a","a","c","e","e","f","g")
vec3=c("pk","pk","sk","pk","mk","ak","kk")
#creating data frame
df = data.frame(vec1, vec2, vec3)

#view data frame
print(df)

print("Sum of rows based on the multiple conditions")
with(df, sum(vec1[vec2 == "a" &  vec3== "pk"]))

Output:

    vec1   vec2    vec3
1     4        a         pk
2    4        a         pk
3    6        c         sk
4    7        e         pk
5    8        e        mk
6    8        f         ak
7    9        g         kk

[1] "Sum of rows based on the multiple conditions"
[1] 8

Conclusion

In Conclusion, we learned about how to calculate sum of rows based on condition in R. R language provides versatile tools while calculating the sum of rows based on condition.