Difference between revisions of "love.math.randomNormal"
m |
(Added examples of uniform/normal distributions and slightly better links) |
||
| Line 1: | Line 1: | ||
{{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 === | ||
| Line 13: | Line 26: | ||
== 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
Other Languages
Dansk –
Deutsch –
English –
Español –
Français –
Indonesia –
Italiano –
Lietuviškai –
Magyar –
Nederlands –
Polski –
Português –
Română –
Slovenský –
Suomi –
Svenska –
Türkçe –
Česky –
Ελληνικά –
Български –
Русский –
Српски –
Українська –
עברית –
ไทย –
日本語 –
正體中文 –
简体中文 –
Tiếng Việt –
한국어
More info
