forked from rdpeng/ProgrammingAssignment2
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathcachematrix.R
More file actions
47 lines (42 loc) · 1.73 KB
/
cachematrix.R
File metadata and controls
47 lines (42 loc) · 1.73 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
## The overall code calculates the inverse of a matrix given by the user.
## The aim is to take some benefit to caching the inverse of a matrix rather
## than compute it repeatedly.
## In order to calculate the inverse of a matrix, follow these steps:
## 1. call function makeCacheMatrix with the argument of your matrix,
## 2. call function cacheSolve, and put the return value of the previous step
## into its argument.
## Function makeCacheMatrix creates a special object that can cache the inverse.
## This function 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 matrix
## 4. get the value of the inverse matrix
makeCacheMatrix <- function(x = matrix()) {
inv <- NULL
set <- function(y) {
x <<- y
inv <<- NULL
}
get <- function() x
setinv <- function(inverse) inv <<- inverse
getinv <- function() inv
list(set = set, get = get, setinv = setinv, getinv = getinv)
}
## Function cacheSolve computes the inverse of the 'matrix' returned by function
## makeCacheMatrix.
## This function first checks to see if the inverse matrix has already been
## calculated. If so, (and the matrix has not changed), then it gets the
## inverse matrix from the cache and skips computation. Otherwise, it calculates
## the invese of the matrix and sets the value of the inverse matrix in the
## cache via the setinverse function.
cacheSolve <- function(x, ...) {
inv <- x$getinv()
if(!is.null(inv)) {
message("getting cached data")
return(inv)
}
data <- x$get()
inv <- solve(data, ...)
x$setinv(inv)
inv
}