获得；尝试应用非功能“；R中的错误

我试图使用环境缓存，同时计算R中矩阵的倒数，如下所示（代码从此url获得）%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
}

上面的代码给出了以下错误：

x$getInverse（）中出错：尝试应用非函数

---

我的测试方法是否不正确？

错误是通过将

d=as.data.frame（d）

传递给函数

cacheSolve（d）

然后调用的

m可能的副本，这是makeCacheMatrix（）的示例程序。
d = matrix(1:1000000, 5000, 200)
d = as.data.frame(d)

cacheSolve(d)

d = matrix(1:1000000, 5000, 200)
d = as.data.frame(d)
cm = makeCacheMatrix(d)
cm$set(d)
cacheSolve(cm)