To generate a binomial distribution in R, the rbinom()
function is used. The function takes three arguments: the number of trials n
, the probability of success p
, and the number of samples to generate size
. The output of the function is a vector of integer values representing the number of successful outcomes in each sample.
Here's an example of generating a binomial distribution with 10 trials, a probability of success of 0.5, and generating 20 samples:
main.r112 chars7 lines
This would output a vector of 20 integer values, each representing the number of successes in 10 trials with a probability of success of 0.5.
To visualize the distribution, you can use the hist()
function to create a histogram of the generated samples:
main.r81 chars2 lines
This would create a histogram of the binomial distribution with the number of successes on the x-axis and the probability density on the y-axis.
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