## makeCacheMatrix function creates a "matrix" object that caches it… #2235
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…s inverse. #1. set value of the matrix #2. get value of the matrix #3. set value of the inverse #4. get value of the inversemakeCacheMatrix <- function(x = matrix()) { j <- NULL set <- function(y) { x <<- y j <<- NULL } get <- function() x setinverse <- function(solve) j <<- solve getinverse <- function() j list(set = set, get = get, setinverse = setinverse, getinverse = getinverse) } ##
cacheSolve
function computes the inverse of the "matrix" returned bymakeCacheMatrix
above. #If the inverse has already been calculated (and the matrix has not changed), thencacheSolve
should retrieve the inverse from the cache. ## when giving: Error in x$getinverse : $ operator is invalid for atomic vectors cachesolve <- function(x, ...) { i<- x$getinverse() if(!is.null(j)) { message("getting cached data") return(j) } data <- x$get() j<- solve(data, ...) x$setinverse(j) j }makeCacheMatrix function creates a "matrix" object that caches its inverse.
#1. set value of the matrix
#2. get value of the matrix
#3. set value of the inverse
#4. get value of the inversemakeCacheMatrix <- function(x = matrix()) {
}
cacheSolve
function computes the inverse of the "matrix" returned bymakeCacheMatrix
above.If the inverse has already been calculated (and the matrix has not changed), then
cacheSolve
should retrieve the inverse from the cache.when giving: Error in x$getinverse : $ operator is invalid for atomic vectors
cachesolve <- function(x, ...) {
i<- x$getinverse()
if(!is.null(j)) {
message("getting cached data")
return(j)
}
data <- x$get()
j<- solve(data, ...)
x$setinverse(j)
j
}