Committed changes for peer review of the week 3 assignment

Author: pingele

cachematrix.R

@@ -1,15 +1,34 @@
-## Put comments here that give an overall description of what your
-## functions do
+## Assignment for Week 3.  Looking at Lexical Scoping
+## Objective is to write 2 functions that create a matrix and store it, then inverse 
+## the matrix, but checking for its precense of a cached matrix first, before creating one.
 
-## Write a short comment describing this function
-
-makeCacheMatrix <- function(x = matrix()) {
+## The first function will create an invertible matrix, get the inverse and store the inverse for later use.
 
+makeCacheMatrix <- function(x = matrix()) { ## setting the argument with mode of matrix
+    inv <- NULL                             ## establishing variable to hold the inverse of the matrix
+    set <- function(y){                     ## giving the matrix in the parent environment a value
+        x <<- y                             
+        inv <<- NULL
+    }
+    get <- function() x                   ## returning the matrix value
+    setInverse <- function(solveMatrix) inv <<- solveMatrix ## establishing the inverse value
+    getInverse <- function() inv            ##  calls or gets the inverse value
+    list(set = set, get = get, setInverse = setInverse, getInverse = getInverse)  ## making the functions available to be called later
 }
 
 
-## Write a short comment describing this function
+## determining the inverse of the matrix created in the MakeCacheMatrix function.
+## If the inverse is in the cache, then use that value, otherwise get the inverse.
 
 cacheSolve <- function(x, ...) {
         ## Return a matrix that is the inverse of 'x'
+    inv <- x$getInverse()          ## populate the inv variable with the value from the previous function,.
+    if(!is.null(inv)){             ## if the variable is not null then retrieve the cache value.
+        message("getting cached data")
+        return(inv)
+    }
+    data <- x$get()             ## If the inv variable is null, generate the inverse and set to inv variable.
+    inv <- solve(data)
+    x$setInverse(inv)
+    inv
 }