Sum of column in R based on condition

In this article, we will explore various methods to calculate the sum of columns based on conditions by using R Programming Language.

How to calculate the sum of columns?

R language offers various methods or functions to calculate the sum of columns based on condition. By using these methods, can work more efficiently. Some of the methods are:

You can use the following basic syntax to sum column based on condition in R:

#sum values in column 3 where col1 is equal to 'U'

sum(df[which(df$col1=='U'), 3])

A sum of columns based on a single condition

In the below example, we created a dataframe and calculated the sum of column based on single condition.

Name=c("U","U","U","V","V","W")
Score=c(10,20,30,40,50,60)
Wickets=c(2,3,4,5,6,7)

df = data.frame(Name, Score, Wickets)
print(df)

#sum of values in column 2 where name is equal to U
print("sum of required column is")
sum(df[which(df$Name=='U'),2])

Output:

  Name Score Wickets
1    U    10       2
2    U    20       3
3    U    30       4
4    V    40       5
5    V    50       6
6    W    60       7

[1] "sum of required column is"
[1] 60

In the below example, we created a dataframe and calculated the sum of column based on single condition.

Name=c("U","U","U","V","V","W")
Score=c(10,20,30,40,50,60)
Wickets=c(2,3,4,5,6,7)

df = data.frame(Name, Score, Wickets)
print(df)

#sum of values in column 3 where name is equal to U
print("sum of required column is")
sum(df[which(df$Name=='V'),3])

Output:

  Name Score Wickets
1    U    10       2
2    U    20       3
3    U    30       4
4    V    40       5
5    V    50       6
6    W    60       7

[1] "sum of required column is"
[1] 11

Sum of column based on multiple conditions

In the below example, we created a dataframe and calculated the sum of column based on multiple conditions.

name=c("U","U","W","V","V","U")
place=c("uk","uk","rk","rk","rk","nk")
score=c(10,20,30,40,50,60)
wickets=c(2,3,4,5,6,7)

#creating data frame
df <- data.frame(name, place, score, wickets)

print(df)

print(" sum of column based on multiple coditions is")
sum(df[which(df$name=='U' & df$place=='uk'), 3])

Output:

  name  place  score  wickets
1    U      uk         10        2
2    U     uk        20        3
3    W    rk        30         4
4    V     rk         40        5
5    V     rk         50        6
6    U    nk        60        7

[1] " sum of column based on multiple conditions is"
[1] 30

In the below example, we created a dataframe and calculated the sum of column based on a multiple conditions.

name=c("U","U","W","V","V","U")
place=c("uk","uk","rk","rk","rk","nk")
score=c(10,20,30,40,50,60)
wickets=c(2,3,4,5,6,7)

#creating data frame
df <- data.frame(name, place, score, wickets)

print(df)

print(" sum of column based on multiple conditions is")
sum(df[which(df$name=='V' & df$place=='rk'), 3])

Output:

    name   place   score  wickets
1    U           uk       10             2
2    U          uk       20             3
3    W         rk         30             4
4    V          rk        40              5
5    V          rk        50             6
6    U         nk        60            7

[1] " sum of column based on multiple conditions is"
[1] 90

Conclusion

In conclusion, we learned about how to calculate the sum of a column based on different conditions. R language offers versatile tools while calculating sum of column based on various conditions.