A random variable whose values are not countable is called a **continuous random variable**. A continuous random variable is a random variable that can assume any value contained in one or more intervals. Because the number of values contained in any interval is infinite, the possible number of values that a continuous random variable can assume is also infinite (Mann 2012).

There exist many more continuous probability distributions than we may discuss here. However, be aware that R has by now implemented a large variety of different discrete and continuous probability distributions see here. In R probability functions are accessible by generic prefixes, such as **r**, **d**, **p**, and **q**. The **r** is the generic prefix for **random variable generator** such as `runif()`

, for the uniform distribution or `rnorm()`

, for the normal distribution. The **d** is the generic prefix for the **probability density function** such as `dunif()`

and `dnorm()`

. The **p** is the generic prefix for the **cumulative density function** such as `punif()`

and `pnorm()`

. The **q** is the generic prefix for the **quantile function** such as `qunif()`

and `qnorm()`

. Keep that in mind, when we further explore the capacities in R.