Changing row and column values of a Matrix in R Language – sweep() function

In this article, we will learn changing row and column values of a Matrix in R Programming Language.

R – sweep() function

sweep() function in R Language is used to apply the operation “+ or -” to the row or column in data matrix. It is used to sweep the values from the data-framework.

Syntax: sweep(x, MARGIN, STATS, FUN)

Parameters:

• x: Typically a matrix.
• MARGIN: MARGIN = 1 means row; MARGIN = 2 means column.
• STATS: the value that should be added or subtracted
• FUN: The operation that has to be done (e.g. + or -)

Example 1: Sweep Matrix

R

# R program to illustrate
# sweep matrix

# Create example matrix
data <- matrix(0, nrow = 6, ncol = 4)

# Apply sweep in R
data_ex1 <- sweep(x = data, MARGIN = 1,
                  STATS = 5, FUN = "+")

# Print example 1
print(data_ex1)

Output:

     [,1] [,2] [,3] [,4]
[1,]    5    5    5    5
[2,]    5    5    5    5
[3,]    5    5    5    5
[4,]    5    5    5    5
[5,]    5    5    5    5
[6,]    5    5    5    5

Here in the above code, the value of the matrix was 0, which was then swept by the sweep() function and the new value of the matrix became 5.

Example 2: Using sweep() with stats

R

# R program to illustrate
# sweep function with stats

# Create example matrix
data <- matrix(0, nrow = 6, ncol = 4)

# Sweep with Complex STATS
data_ex2 <- sweep(x = data, MARGIN = 1,
                STATS = c(1, 2, 3, 4, 5, 6),
                  FUN = "+")

# Print example 2
print(data_ex2)

Output: 

     [,1] [,2] [,3] [,4]
[1,]    1    1    1    1
[2,]    2    2    2    2
[3,]    3    3    3    3
[4,]    4    4    4    4
[5,]    5    5    5    5
[6,]    6    6    6    6

Here in the above example, we have used the sweep() function along with the stats. 

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