gaussian_var function
gaussian_var(mean, sd)
Input: Two real numerical values
Result: A random sample from a Gaussian (normal) distribution, with the supplied mean and standard deviation. A new random sample is generated each time step.
This function is implemented using a pseudo-random sequence generator; notes regarding its behaviour can be found in the documentation for the rand_var function.
Examples:
daily_rainfall = gaussian_var(annual_rainfall/365, 1.0)
In: Contents >> Working with equations >> Functions >> Built-in functions