Difference between revisions of "love.math.randomNormal"
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{{newin|[[0.9.0]]|090|type=function}} | {{newin|[[0.9.0]]|090|type=function}} | ||
− | + | Generates a [https://en.wikipedia.org/wiki/Normal_distribution normally-distributed] pseudo-random number. This function is seeded at startup, so you generally don't need to seed it yourself. | |
+ | |||
+ | While a typical uniform distribution looks like this: | ||
+ | |||
+ | [[File:uniform_distribution.png|frameless|border|A 1D example of a uniform distribution]] | ||
+ | |||
+ | [[File:uniform_distribution_2d.png|frameless|border|A 2D example of a uniform distribution]] | ||
+ | |||
+ | A typical normal distribution looks like this (note the values aggregating at the center, and the shape of a bell curve): | ||
+ | |||
+ | [[File:normal_distribution.png|frameless|border|A 1D example of a normal distribution]] | ||
+ | |||
+ | [[File:normal_distribution_2d.png|frameless|border|A 2D example of a normal distribution]] | ||
+ | |||
== Function == | == Function == | ||
=== Synopsis === | === Synopsis === | ||
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</source> | </source> | ||
=== Arguments === | === Arguments === | ||
− | {{param|number|stddev|Standard deviation of the distribution.}} | + | {{param|number|stddev (1)|Standard deviation of the distribution.}} |
{{param|number|mean (0)|The mean of the distribution.}} | {{param|number|mean (0)|The mean of the distribution.}} | ||
=== Returns === | === Returns === | ||
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== See Also == | == See Also == | ||
* [[parent::love.math]] | * [[parent::love.math]] | ||
+ | * [[love.math.random]] | ||
+ | * [[RandomGenerator]] | ||
[[Category:Functions]] | [[Category:Functions]] | ||
{{#set:Description=Get a normally distributed pseudo random number.}} | {{#set:Description=Get a normally distributed pseudo random number.}} | ||
== Other Languages == | == Other Languages == | ||
{{i18n|love.math.randomNormal}} | {{i18n|love.math.randomNormal}} |
Latest revision as of 20:02, 5 July 2022
Available since LÖVE 0.9.0 |
This function is not supported in earlier versions. |
Generates a normally-distributed pseudo-random number. This function is seeded at startup, so you generally don't need to seed it yourself.
While a typical uniform distribution looks like this:
A typical normal distribution looks like this (note the values aggregating at the center, and the shape of a bell curve):
Function
Synopsis
number = love.math.randomNormal( stddev, mean )
Arguments
number stddev (1)
- Standard deviation of the distribution.
number mean (0)
- The mean of the distribution.
Returns
number number
- Normally distributed random number with variance (stddev)² and the specified mean.
See Also
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