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
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
Method 1: Using aggregate() method in Base R
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)
- 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.
Group.1 x Che 8 Math 10 Phy 22 Group.1 x Che 10 Math 4 Phy 20
Method 2: Using dplyr() package
group_by() function followed by summarise() function with an appropriate action to perform.
Sub name Che 8 Math 10 Phy 22
Method 3: Using data.table
data.table package to calculate the sum of points scored by a team.
Sub sum Math 10 Phy 22 Che 8
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