MATLAB: Setting seed in random (‘normal’)

MATLABrandomseed

I am using random('Normal',2,5,T,1) to generate vector of random numbers from normal distribution with mean 2, variance 5. I want to set the seed so that I can get same set of random numbers each time I run the m file. I am using matlab 7.10.0 (R2010a). I have tried with rand('seed',0) command before random('Normal',2,5,T,1) but it does not serve my purpose. Can anyone help me please?

Best Answer

In that version of MATLAB, I am pretty sure that there are separate streams for rand() and randn(). I think random('Normal',...) effectively uses randn() in its guts. So, I believe you will get what you want if you just use

>> randn('seed',0)

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MATLAB: How to generate same set of random numbers

You can control random number generation using 'rng()' function. The usage is rng(seed).

rng(seed) seeds the random number generator using the nonnegative integer seed so that rand, randi, and randn produce a predictable sequence of numbers.

Hope that helps..!!

MATLAB: Rand(‘twister’,5489) vs rand(‘twister’, sum(100*clock)) can some one explain

rand('twister', 5489) gives an exactly repeatable sequence. If you later rand('twister', 5489) a second time, then the sequence of values will be exactly the same as the first time.

rand('twister', sum(100*clock))

reads the current clock time and manipulates it to calculate a number and uses that as the seed. If you run the same code again later, it probably will not give you exactly the same result. You might do this if you deliberately do not want to repeat the same sequence, such as if you were writing a game.

Note: these days the recommended call would be

rng('shuffle', 'twister')

to create a sequence using the twister random number generator with seed deliberately chosen to be unllkely to be the same later.

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MATLAB: How to generate same set of random numbers

MATLAB: Rand(‘twister’,5489) vs rand(‘twister’, sum(100*clock)) can some one explain

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