Package Exports
- d3-random
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Readme
d3-random
Generate random numbers from various distributions.
Changes from D3 3.x:
- Added a uniform random number generator.
# uniform([min, ][max])
Returns a function for generating random numbers with a uniform distribution. The minimum allowed value of a returned number is min, and the maximum is max. If min is not specified, it defaults to 0; if max is not specified, it defaults to 1. For example:
uniform(6)(); // Returns a number greater than or equal to 0 and less than 6.
uniform(1, 5)(); // Returns a number greater than or equal to 1 and less than 5.Note that you can also use the built-in Math.random to generate uniform distributions directly. For example, to generate a random integer between 0 and 99 (inclusive), you can say Math.random() * 100 | 0.
# normal([mu][, sigma])
Returns a function for generating random numbers with a normal (Gaussian) distribution. The expected value of the generated numbers is mu, with the given standard deviation sigma. If mu is not specified, it defaults to 0; if sigma is not specified, it defaults to 1.
# logNormal([mu][, sigma])
Returns a function for generating random numbers with a log-normal distribution. The expected value of the random variable’s natural logrithm is mu, with the given standard deviation sigma. If mu is not specified, it defaults to 0; if sigma is not specified, it defaults to 1.
# bates(n)
Returns a function for generating random numbers with a Bates distribution with n independent variables.
# irwinHall(n)
Returns a function for generating random numbers with an Irwin–Hall distribution with n independent variables.