randn

randn([rng], [dims...])

Generate a normally-distributed random number with mean 0 and standard deviation 1. Optionally generate an array of normally-distributed random numbers.

Examples

julia> randn(3)
3-element Array{Float64,1}:
 0.886264
 0.951379
 0.189251
julia> randn(1,1)
1x1 Array{Float64,2}:
 -1.10013

julia> randn(10^1)
10-element Array{Float64,1}:
 -0.582411
  0.6569  
 -0.364627
 -0.664332
  2.31059 
 -1.29415 
 -0.324598
  0.866415
  0.199852
  0.350528

julia> randn(10^2)
100-element Array{Float64,1}:
 -0.564138
 -0.290903
  2.34801 
  1.15471 
 -1.96972 
  0.232324
 -0.656563
 -2.44173 
  1.20195 
  0.993468
  0.867964
  0.032737
  0.33407 
  ?       
  0.727052
  0.984324
 -0.627767
  0.252516
  0.382487
 -0.5192  
  0.985186
  0.322768
 -0.506415
 -0.994221
  1.0927  
 -0.343862

Generate a single normally-distributed random number:
```
julia> randn()
0.1950316385222502
```
This example generates a single random number from a standard normal distribution.
Generate an array of normally-distributed random numbers:
```
julia> randn(3)
3-element Array{Float64,1}:
-0.19044704142415453
-0.4862101494629707
-0.16060936031308463
```
It generates an array of three random numbers from a standard normal distribution.
Specify dimensions for a multidimensional array:
```
julia> randn(2, 3)
2×3 Array{Float64,2}:
-0.821126  -0.130874  -0.366167
-0.158623   1.30861    0.334751
```
In this example, a 2x3 array of random numbers from a standard normal distribution is generated.
Specify a custom random number generator:
```
julia> rng = MersenneTwister(1234);
julia> randn(rng)
-0.20497626684002162
```
It generates a single random number using a specific random number generator, MersenneTwister in this case.

Common mistake example:

julia> randn(0)
ERROR: ArgumentError: The dims argument must be an integer or a tuple of integers

In this example, an incorrect argument is provided as the dimensions. The dims argument should be an integer or a tuple of integers representing the dimensions of the desired output array.

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randn

Examples

See Also

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