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Calculate the Mean of each Row of an Object in R Programming – rowMeans() Function
  • Last Updated : 05 Jun, 2020

rowMeans() function in R Language is used to find out the mean of each row of a data frame, matrix, or array.

Syntax: rowMeans(data)

Parameter:
data: data frame, array, or matrix

Example 1




# R program to illustrate 
# rowMean function
     
# Create example values
   
# Set seed
set.seed(1234)
   
 # Create example data                                      
data <- data.frame(matrix(round(runif(12, 2, 20)),     
                          nrow = 4, ncol = 3))
   
# Print data
print(rowMeans(data))                                      

Output:

[1] 11.666667 12.666667  9.666667 10.333333

Example 2:




# R program to illustrate 
# rowMean function
   
# Create example data with NA
data_na <- data.frame(matrix(round(runif(12, 2, 20)),     
                          nrow = 4, ncol = 3))
                                 
data_na[rbinom(length(data_na), 1, 0.3) == 1] <- NA
data_na <- as.data.frame(data_na)    
   
print(rowMeans(data_na, na.rm = TRUE)) 

Output:

[1]  3 16  9  3



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