You can easily add the mean and standard deviation to normally distributed values by simply using x = µ + randn(N) * σ.

It took me a while to understand why this is actually true. I did not know that. Therefore it might be a good idea to extend the function definition with these parameters, or at least add your explanation to the documentation.

Sure, I think a line added to randn documentation could work as an example. However, I think this kind of operation is not specific to this function - these are element wise operations covered in the following tutorials

• https://arrayfire.org/docs/gettingstarted.htm
• https://arrayfire.org/docs/vectorization.htm

@villekf can you kindly provide an example.