# R Binomial Distribution - r - learn r - r programming

• The binomial distribution model deals with finding the probability of success of an event which has only two possible outcomes in a series of experiments.
• For example, tossing of a coin always gives a head or a tail.
• The probability of finding exactly 3 heads in tossing a coin repeatedly for 10 times is estimated during the binomial distribution.
• r programming binomial distribution

• R has four in-built functions to generate binomial distribution. They are described below.
• Following is the description of the parameters used −
• x is a vector of numbers.
• p is a vector of probabilities.
• n is number of observations.
• size is the number of trials.
• prob is the probability of success of each trial.

## dbinom()

• This function gives the probability density distribution at each point.
• When we execute the above code, it produces the following result − ## pbinom()

• This function gives the cumulative probability of an event. It is a single value representing the probability.
• When we execute the above code, it produces the following result −

## qbinom()

• This function takes the probability value and gives a number whose cumulative value matches the probability value.
• When we execute the above code, it produces the following result −

## rbinom()

• This function generates required number of random values of given probability from a given sample.
• When we execute the above code, it produces the following result −