randn (Matlab function) Normally distributed random numbers and arrays

## Matlab/Scilab equivalent

Matlab | Scilab
    randn
    randn(n)            % n scalar
    randn(sz1,...,szN)

    randn(Sizes)
    randn(.., 'single')
    randn(..,'like',p)  % single | double
    randn(randomStream,..)

    % No equivalent

    randn('seed', sd)
    rand('state')
    rand(1, 'normal')
    rand(n,n, 'normal')
    rand(sz1,..,szN, 'normal')

    // No equivalent
    // No equivalent
    // No equivalent
    // No equivalent

    rand(R, 'normal') // Only size(R) considered

    rand('seed', sd)
    // No equivalent

With Matlab, `Sizes, sz1, sz2, ..` can be complex. Then, only their real parts are used as actual sizes. Scilab would yield an error.