Following are the key points described later in this article:

- Runif command
- Sample command
- Rnorm command
- Difference between runif and rnorm command

Table of Contents

###### Runif: Generate Random Numbers based on Uniform Distribution

“Runif” command can be used for generating random numbers based on **uniform distribution**. One can generate one or more random numbers within a range of numbers. One should note that the random numbers generated using runif commands are all decimal (non-integers) numbers.

```
# Generate 5 random numbers
runif(5)
# Generate 5 random numbers (Non-integers) between 2 and 7
runif(5, 2, 7)
```

###### Sample: Generate Random Numbers based on Uniform Distribution

“Sample” command is also used for generating random numbers based on **uniform distribution**. One can generate one or more random numbers within a range of numbers. One should note that the random numbers generated using runif commands are all integer numbers. This is the **key difference between runif and sample command**.

```
# Generate 5 random numbers (Integers)
sample(5)
# Generate 5 random numbers (Integers) between 2 and 7; Duplicates are allowed
# with replace parameter set to True (T)
sample(2:7, 5, replace=T)
# Generate 5 random numbers (Integers) between 2 and 7; Duplicates are NOT allowed
# with replace parameter set to False (F)
sample(2:7, 5, replace=F)
# Generate 5 country names from the vector countryNames with replace as false
countryNames <- c("India","USA","Pakistan","China","Japan","South Korea","Mangolia")
sample(countryNames, 5)
```

###### Rnorm: Generate Random Numbers based on Normal Distribution

“Rnorm” command is used for generating random numbers based on **normal distribution**.

```
# Generate 5 random numbers with mean as 0 and standard deviation as 1
rnorm(5)
# Generate 5 random numbers with mean as 5 and standard deviation as 2
rnorm(500, mean=5, sd=2)
```

###### Random Number Generation for Uniform & Normal Distribution

The **key difference between runif/sample and rnorm command** is following:

- runif/sample command generates the random numbers based on uniform distribution
- rnorm command generates random numbers based on normal distribution

- Spend Analytics Use Cases: AI & Data Science - August 2, 2022
- Logistic Regression Explained with Python Example - August 2, 2022
- Perceptron Explained using Python Example - August 2, 2022

## Leave a Reply