rbinom function
This function generates a vector of binomial distributed random variables given a vector length n, number of trials (size), and probability of success on each trial (prob).
Syntax: rbinom(n, size, prob)
Parameters:
- n: number of observations.
- size: the number of trials.
- prob: the probability of success of each trial.
Example:
In this example, we are generating a vector with a number of successes of 500 binomial experiments including the 90 trials where the probability of success on each trial is 0.7 and then verifying it by using calculating the mean of the generated vector using the rnorm function in the R.
R
gfg <- rbinom(500, size=100, prob=.6)mean(gfg) |
Output:
[1] 60.01
Note: The more random variables we create, the closer the mean number of successes is to the expected number of successes. As the “Expected number of successes” = n*p where n is the number of trials and p is the probability of success on each trial.
A Guide to dbinom, pbinom, qbinom, and rbinom in R
In this article, we will be looking at a guide to the dbinom, pbinom, qbinom, and rbinom methods of the binomial distribution in the R programming language.
Contact Us