- Ajuda do Scilab
- Dicas de Conversão de Matlab para Scilab
- Matlab-Scilab equivalents
- R
- rand (Matlab function)
- randn (Matlab function)
- randperm (Matlab function)
- rcond (Matlab function)
- real (Matlab function)
- realmax (Matlab function)
- realmin (Matlab function)
- rem (Matlab function)
- repmat (Matlab function)
- reshape (Matlab function)
- return (Matlab function)
- round (Matlab function)
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
randn (Matlab function)
Normally distributed random numbers and arrays
Matlab/Scilab equivalent
Matlab | Scilab |
randn(A) |
rand(A,"normal") |
Particular cases
- The Matlab expression B=randn(A) is translated into Scilab by B=rand(A,"normal"):
If A is a scalar, then Matlab returns a A*A random matrix but in Scilab you get a single random value, use rand(A,A,"normal") to get the same matrix B. Finally, if A is a matrix, in Scilab, B will be a matrix having the same size as A whereas in Matlab, you get an error message.
Note that in Matlab, A can contain complex values (in these cases, only real part of A is taken in account), what Scilab function do not tolerate.
Particular case: To get the state of the normal generator, in Matlab you have to use s=randn('state') to get 2 current values of the generator, but Scilab equivalent s=rand("seed") return only one value.
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