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Array Transposition in R

  • Last Updated : 14 Sep, 2021

In this article, we will discuss how can we transpose an array in the R programming language. The transpose of an array is obtained by changing rows to columns and columns to rows. 

Aij = Aji  

where i is not equal to j, thus diagonals remain unchanged.

Example:

Array demo[] --->  [1, 4, 7
                    2, 5, 8,
                    3, 6, 9] 
Transpose of demo[]:
Output --->   [1, 2, 3
               4, 5, 6
               7, 8, 9]

There are two methods to get transpose of an array in R:



Method 1: Naive approach

We can iterate over the array and assign the correspondent elements from row to column and column to row.

Example: Transpose of an array

R




# Create the array Demo
Demo <- matrix(1:9, nrow = 3)
print(Demo)
    
# create another array Output
Output <- Demo
    
# Loops for array Transpose
for (i in 1:nrow(Output))
{   
    for (j in 1:ncol(Output))
    
         Output[i, j] <- Demo[j, i] 
    }
}
    
# print the transposed array output
print(Output)

Output:

Method 2: Using t() function

We can transpose an array directly in R using the inbuilt function t(). This function takes the array as a parameter and returns its transpose.

Syntax:

t(array)

Example: Transpose of an array

R




# Create demo array
Demo <- matrix(1:9, nrow = 3) 
print(Demo)
  
# using t() function transpose Demo
Output <- t(Demo) 
print(Output)

Output:




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