PROBABILITY DISTRIBUTIONS IN R
A statistical distribution, also known as a probability distribution, is a mathematical function that describes the likelihood of different outcomes or values occurring in a dataset or a random phenomenon
CONTINUOUS DISTRIBUTIONS
Continuous distributions describe the probability distribution of a continuous random variable. This type of random variable can take on any value within a specified range or interval, and the probability of obtaining any specific value is zero
![Create and plot Normal distributions in R](/images/featured/normal-distribution-r.png)
Normal distribution
dnorm() pnorm() qnorm() rnorm()
![Use the dunif, punif, qunif and runif functions of the uniform distribution in R](/images/featured/uniform-distribution-in-r.png)
Continuous uniform distribution
dunif() punif() qunif() runif()
![Learn how to use the dexp, pexp, qexp and rexp functions of the exponential distribution in R](/images/featured/exponential-distribution-r.png)
Exponential distribution
dexp() pexp() qexp() rexp()
DISCRETE DISTRIBUTIONS
Discrete distributions describe the probability distribution of a discrete random variable. This type of random variable can take on only distinct, separate values, typically integers, and the probability associated with each value is defined individually