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| ### Introduction | ||
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| This second programming assignment will require you to write an R | ||
| function that is able to cache potentially time-consuming computations. | ||
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lfbecerra
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| For example, taking the mean of a numeric vector is typically a fast | ||
| operation. However, for a very long vector, it may take too long to | ||
| compute the mean, especially if it has to be computed repeatedly (e.g. | ||
| in a loop). If the contents of a vector are not changing, it may make | ||
| sense to cache the value of the mean so that when we need it again, it | ||
| can be looked up in the cache rather than recomputed. In this | ||
| Programming Assignment you will take advantage of the scoping rules of | ||
| the R language and how they can be manipulated to preserve state inside | ||
| of an R object. | ||
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| ### Example: Caching the Mean of a Vector | ||
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@@ -76,8 +76,8 @@ Write the following functions: | |
| that can cache its inverse. | ||
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Brandon780
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| 2. `cacheSolve`: This function computes the inverse of the special | ||
| "matrix" returned by `makeCacheMatrix` above. If the inverse has | ||
| already been calculated (and the matrix has not changed), then | ||
| `cacheSolve` should retrieve the inverse from the cache. | ||
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| Computing the inverse of a square matrix can be done with the `solve` | ||
| function in R. For example, if `X` is a square invertible matrix, then | ||
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66 comments
on commit 7f657dd
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I edited the code online on GitHub webpage. Now I do not understand how to do the next step.
Commit your completed R file into YOUR git repository and push your git branch to the GitHub repository under your account.
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Hi,
I am stuck with the same problem. I have an R file but no idea what I need to do with it to make it go to where it is supposed to go... is "MY" git repository the one I cloned? Different one? How do I push and where? Thanks...
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Whole story is very confusing!
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I am very confused . I dont know how add code into this. From where to start. and I am stuck. though I am following instructions but still confused
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this thing is pretty darm confusing
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Simply cannot submit the assignment, the whole process is so confusing. So much time is already wasted, is not there a simpler way to achieve "submission"?
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R programing(chinese version) for this month can't Evaluate because the Evaluation time is wrong.
i hope you will read this and fix the problem before the course close.
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I believe I commited my R program to github, but I am not sure.
After clicking a few things I see
"commit ca5f5bcba2631beb764c7a084gg91f8be9bc173a"
Is that it?
I didn't use any git tools - just went on the browser...
Any help appreciated
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86f472e8238985f844590ae71c3ea763e24eea10
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Please, let me know how you make the submitted homework. And check the unconfirmed error.
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This is very confusing. I need help
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I did this, hope it is correct and can help those confused classmates:
1: create an account in GitHub
2: create the exactly two same files as the two given under account "rdpeng". They are README.md, and cachematrix.R.
3: in the instruction, we are asked to clone GitHub repository to my computer. But unfortunately my MacOS is too old to clone it. So I skipped this step. What I will do is I will just create the functions in my RStudio
4: Submit my assignment to my repository under my account. I will just copy the functions from RStudio into the file "cachematrix.R" under my account
5: Copy the URL link of my R functions to Coursera.
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Thanks Prof. Just submitted the assignment.
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Thanks freemansugar , your information has cleared my confuse
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I tried put my project but i didn't get. My url project is https://github.com/andrelmfsantos/ProgrammingAssignment2/blob/master/cachematrix.R
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Maybe it is because you need to follow the instructions from the course Data Scientist's Toolbox?
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code submission is very confused. Not sure why do they made so complex ?
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Assignment submission is very confusing
https://github.com/sujitseth/ProgrammingAssignment2
73d917c
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I have my homework on my computer but I could not raise it , they could tell me the steps to upload the task.
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I can't upload the task nether, I don't understand the process of.
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I am really confused!!
I know the answer but I can not upload the task !!!!!!!
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https://github.com/sarabatash/ProgrammingAssignment2-1.git
This is my project, please review it.
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I am confused by the whole GitHub process also. Just in case this is allowed, this is my submission
https://github.com/chacin/ProgrammingAssignment2.git
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I have been struggling with the assignment submission too - every time I push, it was the old R file instead of my updated R scripts - though I have made changes to it. I do not know what happened.
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Anyone who is confuse about how to submit your assignment to Github, I really suggest you check out the course of _Data Scientists ToolBox_on Coursera, which is also taught by Prof Roger D. Peng.
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👍 Its really good
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I don't know how to submit my assignment.
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Hey, Peng. I have submitted my work but when I review others work I found that they have two contributors including you, while I only have one. Does this can be a problem?
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ProgrammingAssignment2-master-DATASCIENTIST59/cachematrix.R
3450aef954a7ee7eee4409c94c1977a37b55035f
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would you please review my assignment
https://github.com/Mstfait/ProgrammingAssignment2
18abc3d
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https://github.com/thoughtful01/ProgrammingAssignment2
Could anybody please review my assignment? Thank you!
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I just committed it.
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https://github.com/aniket1911/ProgrammingAssignment2.git
29bde57
c719adb
please review mine, I have spent 2 weeks to learn to push it here. Million thanks in advance.
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Hi. This is my assignment please review and advise.
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I just committed it.
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Caching the Inverse of a Matrix
Caching the Inverse of a Matrix.docx
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A step forward.
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:)
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Sir by mistake I have linked my branch with the original. Sir please delete it as I am not able to do it. I tried a lot. Sir please do it as soon as possible.
Sorry for the trouble. Please help me with this.
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Put comments here that give an overall description of what your
functions do
Caching the Inverse of a Matrix
Write a short comment describing this function
makeCacheMatrix <- function(x = matrix()) {
}
This function creates a special "matrix" object that can cache its inverse.
Write a short comment describing this function
cacheSolve <- function(x, ...) {
## Return a matrix that is the inverse of 'x'
}
This function computes the inverse of the special "matrix" returned by makeCacheMatrix above. If the inverse has already been calculated (and the matrix has not changed), then cacheSolve should retrieve the inverse from the cache.
makeVector <- function(x = numeric()) {
m <- NULL
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
setmean <- function(mean) m <<- mean
getmean <- function() m
list(set = set, get = get,
setmean = setmean,
getmean = getmean)
}
cachemean <- function(x, ...) {
m <- x$getmean()
if(!is.null(m)) {
message("getting cached data")
return(m)
}
data <- x$get()
m <- mean(data, ...)
x$setmean(m)
m
}
makeCacheMatrix <- function( m = matrix() ) {
i <- NULL
set <- function( matrix ) {
m <<- matrix
i <<- NULL
}
get <- function() {
m
}
setInverse <- function(inverse) {
i <<- inverse
}
getInverse <- function() {
i
}
list(set = set, get = get,
setInverse = setInverse,
getInverse = getInverse)
}
cacheSolve <- function(x, ...) {
m <- x$getInverse()
if( !is.null(m) ) {
message("getting cached data")
return(m)
}
data <- x$get()
m <- solve(data) %*% data
x$setInverse(m)
m
}
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I have confused about the last part. You can add # to explain it.
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This assignment was confused for me. i dont know where can i see the SHA-1 hash that i need to submit my assignment.
Can all of you go to my assignment and give me a review. Thanks in advance
https://github.com/natymiranda90/ProgrammingAssignment2/blob/main/README.md
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This is so confusing!! I have this code but I really don't know where should I publish it for this assignment!:
makeCacheMatrix <- function(x) {
inv <- NULL
set <- function(y) {
x <<- y
inv <<- NULL # Clear the cached inverse
}
get <- function() {
x
}
setInverse <- function(inverse) {
inv <<- inverse
}
getInverse <- function() {
inv
}
list(set = set, get = get, setInverse = setInverse, getInverse = getInverse)
}
cacheSolve <- function(x) {
inv <- x$getInverse()
if (!is.null(inv)) {
message("Fetching inverse from cache...")
return(inv)
}
matrix <- x$get()
inv <- solve(matrix)
x$setInverse(inv)
inv
}
The makeCacheMatrix function creates a special "matrix" object that can cache its inverse. It takes a matrix x as an argument and returns a list of functions. The functions in the list are used to manipulate and access the matrix object.
The cacheSolve function computes the inverse of the matrix object created by makeCacheMatrix. It checks if the inverse has already been calculated and cached. If the inverse is found in the cache, it is retrieved. Otherwise, it calculates the inverse using solve and caches it for future use.
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I did this, hope it is correct and can help those confused classmates: 1: create an account in GitHub 2: create the exactly two same files as the two given under account "rdpeng". They are README.md, and cachematrix.R. 3: in the instruction, we are asked to clone GitHub repository to my computer. But unfortunately my MacOS is too old to clone it. So I skipped this step. What I will do is I will just create the functions in my RStudio 4: Submit my assignment to my repository under my account. I will just copy the functions from RStudio into the file "cachematrix.R" under my account 5: Copy the URL link of my R functions to Coursera.
good work !
Function to create a special "matrix" object that can cache its inverse
makeCacheMatrix <- function(matrix = matrix()) {
create an empty cache
cache <- NULL
Define a list to set and get the matrix
matrixObj <- list(
set = function(newMatrix) {
matrix <<- newMatrix
# Invalidate the cache when matrix is updated
cache <<- NULL
},
get = function() matrix,
# Function to set the inverse of the matrix in the cache
setInverse = function(inverse) cache$inverse <<- inverse,
# Function to get the inverse of the matrix from the cache
getInverse = function() cache$inverse
)
return(matrixObj)
}
Function to compute the inverse of the special "matrix" object
cacheSolve <- function(matrixObj, ...) {
return the matrix from the cache object
matrix <- matrixObj$get()
Check if the inverse is already in the cache
if (!is.null(matrixObj$getInverse())) {
cat("Getting cached inverse:\n")
return(matrixObj$getInverse())
} else {
# If not in cache, get the inverse using solve
inverse <- solve(matrix, ...)
# Cache the computed inverse
matrixObj$setInverse(inverse)
cat("Computing inverse and caching:\n")
return(inverse)
}
}