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cachematrix.R
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cachematrix.R
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##Matrix inversion is usually a costly computation and their may be some benefit
##to caching the inverse of a matrix rather than compute it repeatedly
##The following two functions are a pair of functions that cache the inverse of a matrix
##This function "makeCacheMatrix" creates a special "matrix", which is really a list
## containing a function to:
##1.Set the value of the matrix
##2.get the value of the matrix
##3.set the value of the inverse
##4.get the value of the 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)
}
##The following function calculates the inverse of the special "matrix"
##created with the above function. However, it first checks to see if the
##inverse has already been calculated. If so, it gets the inverse from the
##cache and skips the computation. Otherwise, it calculates the inverse of
##the matrix and sets the value of the inverse in the cache via the setinverse function.
cacheSolve <- function(x, ...) {
## Return a matrix that is the inverse of 'x'
m <- x$getinverse()
if(!is.null(m)) {
message("getting cached data")
return(m)
}
data <- x$get()
m <- solve(data, ...)
x$setinverse(m)
m
}