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Update cachematrix.R
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cachematrix.R

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## Put comments here that give an overall description of what your
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## functions do
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#Our aim in this experiment is to write a pair of functions, namely,
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#"makeCacheMatrix" and "cacheSolve" that cache the inverse of a matrix
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## Write a short comment describing this function
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#makeCacheMatrix is a function which creates a special "matrix" object that can
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#cache its inverse for the input (which is an invertible square matrix)
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makeCacheMatrix <- function(x = matrix()) {
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inv <- NULL
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set <- function(y) {
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x <<- y
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inv <<- NULL
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}
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get <- function() x
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setinv <- function(inverse) inv <<- inverse
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getinv <- function() inv
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list(set = set, get = get, setinv = setinv, getinv = getinv)
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}
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## Write a short comment describing this function
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#cacheSolve is a function which computes the inverse of the special "matrix"
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#returned by makeCacheMatrix above. If the inverse has already been calculated
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#(and the matrix has not changed), then the cachesolve should retrieve the
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#inverse from the cache
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cacheSolve <- function(x, ...) {
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## Return a matrix that is the inverse of 'x'
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inv <- x$getinv()
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if(!is.null(inv)) {
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message("getting cached result")
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return(inv)
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}
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data <- x$get()
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inv <- solve(data, ...)
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x$setinv(inv)
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inv
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}
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#Checking the Output-
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my_matrix <- makeCacheMatrix(matrix(1:4, 2, 2))
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my_matrix$get()
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# [,1] [,2]
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# [1,] 1 3
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# [2,] 2 4
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my_matrix$getinv()
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# NULL
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cacheSolve(my_matrix)
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# [,1] [,2]
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# [1,] -2 1.5
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# [2,] 1 -0.5
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my_matrix$getinv()
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# [,1] [,2]
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# [1,] -2 1.5
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# [2,] 1 -0.5
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my_matrix$set(matrix(c(2, 2, 1, 4), 2, 2))
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my_matrix$get()
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# [,1] [,2]
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# [1,] 2 1
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# [2,] 2 4
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my_matrix$getinv()
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# NULL
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cacheSolve(my_matrix)
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# [,1] [,2]
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# [1,] 0.6666667 -0.1666667
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# [2,] -0.3333333 0.3333333
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cacheSolve(my_matrix)
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# getting cached result
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# [,1] [,2]
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# [1,] 0.6666667 -0.1666667
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# [2,] -0.3333333 0.3333333
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my_matrix$getinv()
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# [,1] [,2]
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# [1,] 0.6666667 -0.1666667
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# [2,] -0.3333333 0.3333333

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