I am trying to use the environment caching while calculating the inverse of a matrix in R as shown below (code obtained from this url https://github.com/mehulpatel21/Data-Science-Specialization-JHU/blob/master/2)%20R%20Programming/cachematrix.R :
makeCacheMatrix <- function(x = matrix()) {
## Initialize the inverse property
i <- NULL
## Method to set the matrix
set <- function( matrix ) {
m <<- matrix
i <<- NULL
}
## Method the get the matrix
get <- function() {
## Return the matrix
m
}
## Method to set the inverse of the matrix
setInverse <- function(inverse) {
i <<- inverse
}
## Method to get the inverse of the matrix
getInverse <- function() {
## Return the inverse property
i
}
## Return a list of the methods
list(set = set, get = get,
setInverse = setInverse,
getInverse = getInverse)
}
## Compute the inverse of a special matrix returned by "makeCacheMatrix"
## above. If the inverse is already calculated (and the matrix has not
## changed), then the "cachesolve" should retrieve the inverse from the cache.
cacheSolve <- function(x, ...) {
## Return a matrix that is the inverse of 'x'
m <- x$getInverse()
## Just return the inverse if its already set
if( !is.null(m) ) {
message("getting cached data")
return(m)
}
## Get the matrix from our object
data <- x$get()
## Calculate the inverse using matrix multiplication
m <- solve(data) %*% data
## Set the inverse to the object
x$setInverse(m)
## Return the matrix
m
}
For testing the code, I have defined a matrix as follows:
d = matrix(1:1000000, 5000, 200)
d = as.data.frame(d)
cacheSolve(d)
The above code gives me the following error:
Error in x$getInverse() : attempt to apply non-function
Is my way of testing not correct?