randomnumbers.normal

Generate normally distributed random numbers

Synopsis
normal(mean, variance, shape)

Description
The normal function will generate numbers that follow a normal, or Gaussian distribution. See the general tool description for a mathematical definition of the probability density function.

The mean can be any real number and the variance must be a positive number. The result will be floating point numbers in the range - $\infty$ < x < $\infty$ . The shape can be either an integer or a vector of integers where all the values are greater than zero. The default value of one will produce a scalar output.

Arguments

mean	in	Mean of the distribution
		Allowed:	double
		Default:	0.0
variance	in	Variance of the distribution
		Allowed:	double
		Default:	1.0
shape	in	Shape of the output array
		Allowed:	integer or a vector of integers
		Default:	1

Returns
A floating point scalar or array.

Example
See the example in the randomnumbers tool description.

Next: randomnumbers.lognormal - Function Up: randomnumbers - Tool Previous: randomnumbers.hypergeometric - Function Contents Index

	Package	utility
	Module	mathematics
	Tool	randomnumbers

randomnumbers.normal - Function