R-Programming-Assignment2

two functions are used to create object that stores a matrix and caches its inverse.

#The first function, makeVector creates a special "vector", which is really a list containing a function to #set the value of the matrix #get the value of the matrix #set the value of the inverse #get the value of the inverse

The second function calculates the inverse of the matrix created with the first function. However, it first checks

to see if the mean has already been calculated. If so, it gets the mean from the cache and skips the computation.

Otherwise, it calculates the mean of the data and sets the value of the mean in the cache via the setmean function.

here I list some results for one example

my_matrix <- makeCacheMatrix(); summary(my_matrix); #> Length Class Mode
#> setMatrix 1 -none- function #> getMatrix 1 -none- function #> cacheInverse 1 -none- function #> getInverse 1 -none- function

create a matrix

my_matrix <- makeCacheMatrix(matrix(c(4,6,10,8),nrow = 2, ncol = 2)); my_matrix$get();

cacheSolve(my_matrix)

[,1] [,2]

#[1,] -0.2857143 0.3571429 #[2,] 0.2142857 -0.1428571

cacheSolve(my_matrix) #getting cached data [,1] [,2] #[1,] -0.2857143 0.3571429 #[2,] 0.2142857 -0.1428571

the 2nd time we run the function, we get the cached value

my_matrix$getInv()

[,1] [,2]

#[1,] -0.2857143 0.3571429 #[2,] 0.2142857 -0.1428571