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cachematrix.R
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48 lines (42 loc) · 1.23 KB
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## Put comments here that give an overall description of what your
## functions do
## Write a short comment describing this function
## The function sets and gets the matrix and its inverse
makeCacheMatrix <- function(x = matrix()) {
m <- NULL
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
setinverse <- function(solve) m <<- solve
getinverse <- function() m
list(set = set, get = get,
setinverse = setinverse,
getinverse = getinverse)
}
## Write a short comment describing this function
## the function calculates the inverse of the matrix created above.
## checks to see if inverse is empty and if not uses cached inverse
cacheSolve <- function(x, ...) {
m <- x$getinverse()
if(!is.null(m)) {
message("getting cached data")
return(m)
}
data <- x$get()
m <- solve(data, ...)
x$setinverse(m)
m
}
#to test you do like this:
#>mat1 = matrix(r, nrow=10, ncol=10)
#>x = makeCacheMatrix(mat1)
#>cacheSolve(x)
#and you get the answer very fast! Repeat to see message
#or read in matrix like this:
#temp= read.csv("testfile.csv")
#temp1 <- as.matrix(temp)
#x = makeCacheMatrix(temp1)
#...etc. but don't forget R assumes header and
#it will complain matrix not square if u forget!!!