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

  • Last Updated : 06 Aug, 2021

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  

Python3




# 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  

Python3




# 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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