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How to Calculate Geometric Mean in R?

In this article, we will discuss how to calculate the Geometric Mean in R Programming Language.

We can define the geometric mean as the average rate of return of a set of values calculated using the products of the terms.



Method 1: Compute Geometric Mean Manually

In this method, the user can calculate manually by using exp(), mean() and log() functions together by passing the parameter as the given data to calculate the geometric mean in the R programming language.

Syntax:



exp(mean(log(data))) 

Example:

In this example, we are going to calculate the geometric mean of 5 elements in a vector using the exp(), mean() and log() functions together in R language.




# create  vector
data=c(1,2,3,4,5)
  
# calculate geometric mean
exp(mean(log(data)))

Output:

[1] 2.605171

Method 2: Using geometric.mean Function of psych Package

In this approach, the user has to first install and import the psych package in the working R console, then the user has to call the geometric.mean() function with the required parameter passed into it to calculate the geometric mean of the given data. 

Syntax to install and import the psych package:

install.package('psych')
library('psych')

Syntax:

geometric.mean(data)

Example:

In this example, we will be calculating the geometric mean of 5 elements in the vector using the geometric.mean() function from the psych package in the R programming language.




# load the library
library(psych)
  
# create  vector
data=c(1,2,3,4,5)
  
# calculate geometric mean
geometric.mean(data)

Output:

[1] 2.605171

Method 3: Calculate Geometric Mean of Columns in Data Frame

In this method to calculate the geometric mean of the columns of the given data frame, the user needs to first install and import the psych package in the R console and then call the geometric.mean() function of this package and pass the column name of the dataframe with $ operator to which the geometric mean id to be calculated in the R programming language.

Syntax:

geometric.mean(data$column_name)

where, 

Example:

Under this example, we will be calculating the geometric mean of all the columns of the given data frame of 3 columns and 5 rows using the geometric.mean() function from psych package in the R language.




# load the library
library(psych)
  
# create  dataframe with 3 columns
data=data.frame(col1=c(1,2,3,4,5),
                col2=c(23,45,32,12,34),
                col3=c(34,78,90,78,65))
  
# calculate geometric mean for column1
geometric.mean(data$col1)
  
# calculate geometric mean for column2
geometric.mean(data$col2)
  
# calculate geometric mean for column3
geometric.mean(data$col3)

Output:

[1] 2.605171
[1] 26.67781
[1] 65.54881

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