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cachematrix.R
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## Coursera
## R Programming (Course-ID #rprog-007)
## Pei-Ju Chin
## Programming Assignment-2
##
## Matrix inversion is usually a costly computation and there may be some
## benefit to caching the inverse of a matrix rather than computing it repeatedly
## This assignment is to write a pair of functions that cache the inverse of a matrix.
## "makeCacheMatrix" function creates a special "matrix" object that can cache its inverse.
makeCacheMatrix <- function(x = matrix()) {
m <- NULL
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
setinverse <- function(inverse) m <<- inverse
getinverse <- function() m
list(set = set, get = get,
setinverse = setinverse,
getinverse = getinverse)
}
## "cacheSolve" function computes the inverse of the special "matrix" returned by "makeCacheMatrix" above.
## If the inverse has already been calculated (and the matrix has not changed),
## then cacheSolve should retrieve the inverse from the cache.
cacheSolve <- function(x, ...) {
m <- x$getinverse()
if(!is.null(m)) {
message("Previous result exists, getting cached data...")
return(m)
}
data <- x$get()
m <- solve(data, ...)
x$setinverse(m)
m
## Return a matrix that is the inverse of 'x'
}