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cachematrix.R

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## Put comments here that give an overall description of what your
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## functions do
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## Write a short comment describing this function
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##
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# Combination of functions that provide caching strategy for obtaining
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# the results of 'solve' to a specified Vector.
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#
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# Usage:
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# makeCacheMatrix - use this function to create a special object
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# that encapsulates a specified matrix and a cached
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# result.
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# cacheSolve - this provides the 'solve' restuls for the specified
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# matrix - providing the cached value if executed twice.
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# Creates an object that encapsulates a cached result for
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# calculating the inverse of a matrix.
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#
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# Args:
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# x: Specified matrix that the inverse function will be applied to.
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#
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# Returns:
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# An object encapsulating the cached resulting value that has the
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# following functions:
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# result$get - Get the specified matrix value
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# result$set - Set the specified amatrix value
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# result$getinverse - The cached value or NULL
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# result$setinverse - Set the cached value
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makeCacheMatrix <- function(x = matrix()) {
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m <- NULL
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set <- function(y) {
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x <<- y
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m <<- NULL
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}
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get <- function() x
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setsolve <- function(solve) m <<- solve
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getsolve <- function() m
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list(set = set, get = get,
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getsolve = getsolve,
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setsolve = setsolve)
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}
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## Write a short comment describing this function
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# Calculates the mean value using the 'mean' value of the value specified
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# in the specified 'special vector'. Returns the cache value if there is
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# one.
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#
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# Args:
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# x - 'special object' returned by the 'makeCacheMatrix'.
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#
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# Returns:
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# An object encapsulating the cached resulting value that has the
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# following functions:
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# result$get - Get the specified matrix value
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# result$set - Set the specified amatrix value
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# result$getinverse - The cached value or NULL
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# result$setinverse - Set the cached value
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cacheSolve <- function(x, ...) {
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## Return a matrix that is the inverse of 'x'
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m <- x$getsolve()
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if(!is.null(m)) {
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message("getting cached data")
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return(m)
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}
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data <- x$get()
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m <- solve(data, ...)
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x$setsolve(m)
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m
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}

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