How can I create a random array from a distribution?

2015 10 23
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I was wondering how can I create an array of certain dimensions (i.e. 1000x1) from a distribution object?

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the cyclist
the cyclist 2015-10-23

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N = 1000;
pd = makedist('Normal','mu',75,'sigma',10);
r = pd.random(N,1);

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the cyclist
the cyclist 2015-10-23
The best form of thanks is upvoting and/or accepting an answer, which rewards the person who helped you, and might also guide people who have similar questions.
Gabs
Gabs 2015-10-23
Actually, I am having trouble. I want a random set of numbers from a normal distribution object with a given mu and sigma. However, I need to truncate the distribution. After I truncate it, I am getting a random set of numbers that is NOT normally distributed
the cyclist
the cyclist 2015-10-23
I'm not sure exactly what you mean. A truncated normal is not a normal. Maybe you need something like a beta distribution, where you can choose parameters that make it symmetric, but it has a finite range?

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