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Commit rdpeng#1
Provided implementation for both functions
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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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# makeCacheMatrix function
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# parameter x: a reference to a square matrix object (2x2, 3x3, etc)
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# return: an object representing the matrix with four methods
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# set(): sets a new matrix to the object and resets the inverse matrix
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# get(): gets the matrix
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# setInverse(): stores the inverse of the matrix
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# getInverse(): gets the inverse of the matrix (if calucated using cacheStore())
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####################################################################
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makeCacheMatrix <- function(x = matrix()) {
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#initialize the inverse matrix to NULL
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inverseMatrix <- NULL
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#sets the internal matrix object and resets the inverse to NULL
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#so it gets re-calculated
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set <- function(y) {
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x <<- y
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inverseMatrix <<- NULL
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}
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#returns the internal matrix object
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get <- function() x
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#sets the inverse matrix
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setInverse <- function(inverse) inverseMatrix <<- inverse
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#returns the inverse matrix
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getInverse <- function() inverseMatrix
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#return the list of functions to the caller
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list(set = set,
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get = get,
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setInverse = setInverse,
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getInverse = getInverse)
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}
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## Write a short comment describing this function
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####################################################################
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# cacheSolve function
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# parameter x: a reference to a makeCacheMatrix object
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# ...: additional solve() parameters
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# description: calculates and caches the inverse for a square matrix
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####################################################################
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cacheSolve <- function(x, ...) {
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## Return a matrix that is the inverse of 'x'
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#first, attempt to get the inverse from the special matrix object
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inverse <- x$getInverse()
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#if the inverse was already cached, return the cached value
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if(!is.null(inverse)) {
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message("getting cached inverse")
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return(inverse)
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}
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#otherwise, get the original matrix object, and calculate the inverse
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data <- x$get()
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inverse <- solve(data, ...)
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#set/cache the inverse matrix on the object, so it doesn't get recalculated
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#every time
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x$setInverse(inverse)
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#return the inverse
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inverse
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}

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