Change the shape of the normal distribution using the slider

Question

I am new to both NetLogo (NL) and Stackoverflow. I am working on an NL opinion building model and I am stuck with the following problem (googling or something else did not work for me).

The turtle-own property is first defined turtles-own [opinion]. Further, there is a random normal distribution of the variable opinions (from -1 to 1). I want to take into account various forms of distribution of opinions in the range from -1 to 1. This is done using a command random-normalwith two inputs: mean (set to 0) and std. deviation (set by the slider); those. the form is given by std. deviation value.

Here is the setup function code:

to setup
clear-all
random-seed seed
crt number
ask turtles [set opinion random-normal 0 std.dev.]
... (defining other turtles properties)
end

However, by installing std.dev. a slider up to 1 does not give the expected result (bell-shaped distribution), but rather a uniform distribution. I am not sure if this is a conceptual or technical issue.

Any help is greatly appreciated.

Answer 1

Normal distributions do not have a limited range, so I'm not sure what you want to use random-normal. There are many ways to get bounded normal distributions. See this answer for more details: NetLogo: How do I make sure a variable stays in a certain range?

, , ? histogram , x-min, x-max bin. 10 000 , 1, x-min = -5, x-max = 5 = 0,1:

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