Changing row and column values of a Matrix in R Language – 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 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) |
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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 sweeped by the sweep() function and the new value of the matrix became 5.
Example 2: Using sweep() with stats
# R program to illustrate # sweep funtion 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) |
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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.
