Generate random numbers using Repeat 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 `repeat` loop to repeat a block of code indefinitely. The `repeat` 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.

c. It checks if the value of `x` is greater than 0.9 using the `if` statement, which evaluates a logical condition and executes a block of code if it is true. The `if` statement is also enclosed by curly braces `{}` that indicate the start and end of the conditional block.

d. Inside the conditional block, the code uses the `break` statement, which terminates the execution of the loop and jumps out of it.

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

Output
[1] 0.288129
[1] 0.5386403
[1] 0.1097055
[1] 0.6238026
[1] 0.9355597

• x <- 0: Initialize the variable x with a value of 0.
• repeat: This initiates an infinite loop using the repeat keyword. The loop will keep running until the break statement is encountered.
• Inside the loop:
• x <- runif(1): Generate a random number between 0 and 1 using the runif() function. This function returns a random number from a uniform distribution.
• print(x): Print the generated random number to the console.
• if (x > 0.9) : Check if the generated random number is greater than 0.9.
• If the condition is true, the break statement is executed, which terminates the repeat loop.
• If the condition is false, the loop continues to generate and print random numbers.

R Language is mainly used for machine learning, statistics, and data analysis. Objects, functions, and R packages can easily be created by R. However we can use this language for other purposes like generating random numbers until a number greater than 0.9 is generated. We can do that using loops as R supports three kinds of loops.