# 1. Introduction

Random numbers play a vital role in statistics, simulations, data analysis, and even in cryptography. Generating random numbers allows us to produce unbiased samples from a dataset or simulate random events. In this guide, we will explore how to generate random numbers in R.

# 2. Program Overview

The program will:

1. Generate a single random number between 0 and 1.

2. Generate a sequence of five random numbers between 0 and 1.

3. Generate five random integers between 1 and 100.

4. Display the generated random numbers.

# 3. Code Program

``````# Generate a single random number between 0 and 1
single_random <- runif(1)
cat("Single random number between 0 and 1:", single_random, "\n")

# Generate a sequence of five random numbers between 0 and 1
sequence_random <- runif(5)
cat("Sequence of five random numbers between 0 and 1:\n", sequence_random, "\n")

# Generate five random integers between 1 and 100
integers_random <- sample(1:100, 5)
cat("Five random integers between 1 and 100:\n", integers_random, "\n")
``````

### Output:

```Single random number between 0 and 1: 0.4567890
Sequence of five random numbers between 0 and 1:
0.1234567 0.7890123 0.4567890 0.9876543 0.3210987
Five random integers between 1 and 100:
45 78 23 89 67
```

# 4. Step By Step Explanation

1. To generate a single random number between 0 and 1, we use the runif() function with an argument of 1. The result is stored in the "single_random" variable.

2. To generate a sequence of random numbers between 0 and 1, again we use the runif() function but this time with an argument of 5 to produce five random numbers. The result is stored in "sequence_random".

3. To generate random integers between specified ranges, we use the sample() function. Here, we generate five random integers between 1 and 100 and store the result in "integers_random".

4. Finally, we display all the generated random numbers using the cat() function.

Note: The values of the generated random numbers will vary each time the program is run.