How to use aggregate() method in Base R In R Language

aggregate() function is used to get the summary statistics of the data by group. The statistics include mean, min, sum. max etc.

Syntax: aggregate(dataframe$aggregate_column, list(dataframe$group_column), FUN)  

where

  • dataframe is the input dataframe.
  • aggregate_column is the column to be aggregated in the dataframe.
  • group_column is the column to be grouped with FUN.
  • FUN represents sum/mean/min/ max.

R




# creating data frame
df <- data.frame(Sub = c('Math', 'Math', 'Phy', 'Phy'
                         'Phy', 'Che', 'Che'),
                 Marks = c(8, 2, 4, 9, 9, 7, 1),
                 Add_on = c(3, 1, 9, 4, 7, 8, 2))
  
aggregate(df$Marks, list(df$Sub), FUN=sum)
aggregate(df$Add_on, list(df$Sub), FUN=sum)


Output:

Group.1    x
Che    8
Math    10
Phy    22

Group.1    x
Che    10
Math    4
Phy    20

How to Calculate the Sum by Group in R?

In this article, we are going to see how to calculate the Sum by Group in R Programming Language.

Data for Demonstration

R




# creating data frame
df <- data.frame(Sub = c('Math', 'Math', 'Phy', 'Phy'
                         'Phy', 'Che', 'Che'),
                 Marks = c(8, 2, 4, 9, 9, 7, 1),
                 Add_on = c(3, 1, 9, 4, 7, 8, 2))
  
# view dataframe
df


Output:

Sub    Marks    Add_on
Math    8    3
Math    2    1
Phy    4    9
Phy    9    4
Phy    9    7
Che    7    8
Che    1    2

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aggregate() function is used to get the summary statistics of the data by group. The statistics include mean, min, sum. max etc....

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