Scilab 6.0.0
- Scilabヘルプ
- Matlab to Scilab Conversion Tips
- 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)
Scilabヘルプ >> Matlab to Scilab Conversion Tips > Matlab-Scilab equivalents > R > rand (Matlab function)
rand (Matlab function)
Uniformly distributed random numbers and arrays
Particular cases
- B=rand(A)
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) 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 uniform generator, in Matlab you have to use s=rand('state') to get 35 current values of the generator, but Scilab equivalent s=rand("seed") return only one value.
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