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Implementing solution and including docs
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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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#' Creates a special list with keys "get", "set", "setsolve" and "getsolve"
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#' that will cache the result of inversing a matrix
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#'
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#' You can use this object directly, but to be able to correctly cache
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#' the inverse of the matrix you should always use the `cacheSolve` function
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#' on it.
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#'
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#' "get" will read give you the currently wrapped matrix
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#' "set" will change the currently wrapped matrix and clear the inverse cache if there is one
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#' "setsolve" will save the cached inverse, should not be directly called
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#' "getsolve" will get the cached inverse, should not be directly called
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#'
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#' @param x the matrix that will have it's inverse cached
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#' @return a list wrapping the given matrix
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#' @examples
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#' m <- makeCacheMatrix(matrix( rnorm(N*M,mean=0,sd=1), 3, 3))
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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(solved) m <<- solved
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getsolve <- function() m
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list(set = set, get = get,
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setsolve = setsolve,
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getsolve = getsolve)
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}
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## Write a short comment describing this function
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#' Calculates and caches or returns the cached result of inversing the given matrix
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#'
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#' This function will either return the available inverse directly if it isn't cached
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#' or will calculate the inverse, save it to the cache and then return this cached result.
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#'
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#' @param x the special list created by `makeCacheMatrix`
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#' @param ... other parameters you would usually give to a call to `solve`
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#' @return the inverse of the currently wrapped matrix
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#' @examples
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#' m <- makeCacheMatrix(matrix( rnorm(N*M,mean=0,sd=1), 3, 3))
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#' cacheSolve(m)
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cacheSolve <- function(x, ...) {
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## Return a matrix that is the inverse of 'x'
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}
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cacheSolve <- function(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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