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Finding Inverse of a Matrix in R Programming - inv() Function

Last Updated : 19 Jun, 2020
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inv() function in R Language is used to calculate inverse of a matrix.
Note: Determinant of the matrix must not be zero
Syntax: inv(x) Parameters: x: Matrix
Example 1: Python3 1==
# R program to calculate 
# inverse of a matrix

# Loading library
library(matlib)

# Create 3 different vectors. 
a1 <- c(3, 2, 8) 
a2 <- c(6, 3, 2) 
a3 <- c(5, 2, 4) 
  
# Bind the 3 matrices row-wise  
# using the rbind() function. 
A <- rbind(a1, a2, a3) 
  
# find inverse using the inv() function. 
print(inv(A))
Output:
           [, 1]       [, 2]       [, 3]
[1, ] -0.2857143 -0.2857143  0.7142857
[2, ]  0.5000000  1.0000000 -1.5000000
[3, ]  0.1071429 -0.1428571  0.1071429
Example 2: Python3 1==
# R program to calculate
# inverse of a matrix

# Loading Library
library(matlib)

# Creating a matrix
A = matrix(c(2, 5, 3, 4, 5, 2, 6, 3, 4), 3, 3) 

det(A)

# Calling inv() function
cat("Inverse of A:\n") 
inv(A)
Output:
[1] -46
Inverse of A:
           [, 1]        [, 2]       [, 3]
[1, ] -0.3043478  0.08695652  0.3913044
[2, ]  0.2391304  0.21739130 -0.5217391
[3, ]  0.1086957 -0.17391304  0.2173913

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