Generate random numbers using While Loop

1. First, it initializes a variable called `x` and assigns it the value of 0. This variable will store the random number that will be generated in each iteration of the loop.

2. Next, it uses a `while` loop to repeat a block of code as long as a condition is true. The `while` loop has a condition that checks if the value of `x` is less than or equal to 0.9. The `while` loop is enclosed by curly braces `{}` that indicate the start and end of the loop body.

3. Inside the loop body, the code does the following:

a. It generates a random number between 0 and 1 using the `runif` function, which takes one argument: the number of random numbers to generate. In this case, it is 1. The random number is assigned to the variable `x`.

b. It prints the value of `x` using the `print` function, which displays the output on the console.

4. After the loop ends, the code stops running.

R




# initialize a variable to store the random number
x <- 0
 
# use a while loop to generate random numbers from a uniform distribution
while (x <= 0.9) {
  # generate a random number between 0 and 1
  x <- runif(1)
   
  # print the random number
  print(x)
}


Output

[1] 0.1120839
[1] 0.4356025
[1] 0.02041804
[1] 0.5944996
[1] 0.7476459
[1] 0.3314883
[1] 0.4432616
[1] 0.8747775
[1] 0.2771189
[1] 0.4299433
[1] 0.2105656
[1] 0.2088417
[1] 0.7823486
[1] 0.3891303
[1]...




  • Assign the value while (x <= 0.9).
  • This is a while loop that continues executing as long as the value of x is less than or equal to 0.9.
  • x <- runif(1):
  • In each iteration of the loop, a random number between 0 and 1 is generated using the runif() function.
  • The 1 argument specifies that a single random number should be generated.
  • print(x):
  • After generating the random number, the value of x is printed to the console using the print() function.

Generating Random Numbers Until Some Condition Is Met in R

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