Calculate the Weighted Mean in R Programming - weighted.mean() Function

Last Updated : 15 Jul, 2025
weighted.mean() function in R Language is used to compute the weighted arithmetic mean of input vector values.
Syntax: weighted.mean(x, weights) Parameters: x: data input vector weights: It is weight of input data. Returns: weighted mean of given values
Example 1: r 
# Create example data
x1 <- c(1, 2, 7, 5, 3, 2, 5, 4)

# Create example weights                    
w1 <- c(7, 5, 3, 5, 7, 1, 3, 7)                    

# Apply weighted.mean() function
weighted.mean(x1, w1)
Output: 
[1] 3.394737
Example 2: r 
# Create example data
x1 <- c(1, 2, 7, 5, 3, 2, 5, 4)

# Create example weights                    
w1 <- c(7, 5, 3, 8, 7, 1, 3, 7)                    

# Create vector with NA
# Extend weights vector
x2 <- c(x1, NA)                                    
w2 <- c(w1, 3)                                     
weighted.mean(x2, w2)      

# Remove missing values
weighted.mean(x2, w2, na.rm = TRUE)
Output: 
[1] NA
[1] 3.512195
Comment
Article Tags:
R Language
R Math-Function

Explore