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I have dug around and googled but not found an example. I'm sure Julia has a powerful function (in base?) to generate random binomial (bernoulli?) "successes" with a given probability. I can't find it or figure out how to do the equivalent to in Julia:
> rbinom(20,1,0.3)
[1] 1 1 1 0 0 0 1 1 0 0 0 0 1 1 0 0 0 1 0 0
Thx. J
544
This tutorial explains how to work with the binomial distribution in R using the functions dbinom, pbinom, qbinom, and rbinom. The function dbinom returns the value of the probability density function (pdf) of the binomial distribution given a certain random variable x, number of trials (size) and probability of success on each trial (prob).
R rbinom – Simulate Binomial or Bernoulli trials This article about R’s rbinom function is part of a series about generating random numbers using R. The rbinom function can be used to simulate the outcome of Bernoulli trials. This is a fancy statistical word for flipping coins.
First, we have to create a vector of quantiles as input for the dbinom R function: Then, we can apply the dbinom function to this vector as shown below. Note that I have specified the size to be equal to 100 (i.e. the number of trials) and the probability for each binomial draw to be equal to 0.5 (i.e. 50%).
R’s rbinom function simulates a series of Bernoulli trials and return the results. The function takes three arguments: The expected syntax is: rbinom (# observations, # trails/observation, probability of success ) For this example, lets assume we’re in charge of quality for a factory. We make 150 widgets per day.
You can use Distributions and the rand function for this. Any distribution can be passed to rand. To replicate what you want:
julia> using Distributions
julia> p = Binomial(1, 0.3) # first arg is number of trials, second is probability of success
Binomial{Float64}(n=1, p=0.3)
julia> rand(p, 20)
20-element Array{Int64,1}:
0
1
1
0
1
0
0
1
0
1
1
1
0
0
1
0
1
0
0
1
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