How to Calculate Row and Column Means in R - Step by Step Examples

How to Calculate Row and Column Means in R ?

In R, you can calculate row and column means of matrices using the rowMeans() and colMeans() functions, respectively.

In this example,

We have a matrix named mat.
We apply the rowMeans() function to calculate the mean of elements in each row of the matrix mat.
We assign the resulting row means to a variable named row_means.
We print the row_means to the console to display the row means of the matrix.

mat <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 2)
row_means <- rowMeans(mat)
print(row_means)

[1] 2.5 3.5

In this example,

We have a matrix named mat.
We apply the colMeans() function to calculate the mean of elements in each column of the matrix mat.
We assign the resulting column means to a variable named col_means.
We print the col_means to the console to display the column means of the matrix.

mat <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 2)
col_means <- colMeans(mat)
print(col_means)

[1] 3 4 5

In this tutorial, we learned How to Calculate Row and Column Means in R language with well detailed examples.