Posted by
Cammer, Michael-2 on
Sep 19, 2018; 1:50pm
URL: http://imagej.273.s1.nabble.com/Gaussian-Random-Number-Generation-tp5021203p5021208.html
What about addingsubtracting or multiplying a random by a perfect Gaussian? This could also be scaled as per the distance from the mean.
Michael Cammer, Sr Research Scientist, DART Microscopy Laboratory
NYU Langone Health, 540 First Avenue, SK2 Microscopy Suite, New York, NY 10016
[hidden email] http://nyulmc.org/micros http://microscopynotes.com/
Voice direct only, no text or messages: 1-914-309-3270 and 1-646-501-0567
-----Original Message-----
From: JAMES, gregory (SANDWELL AND WEST BIRMINGHAM HOSPITALS NHS TRUST) [mailto:
[hidden email]]
Sent: Wednesday, September 19, 2018 8:09 AM
To:
[hidden email]
Subject: Gaussian Random Number Generation
Dear ImageJ community,
You are an intelligent group of people so I would like to ask this...
Does anyone have a clever way of generating a random set of numbers that conform to a normal (Gaussian) distribution for a given mean and standard deviation using the 'random' macro function? I acknowledge that the ImageJ macro language is a slightly strange place to do this but I cannot use Excel because my data sets are so large and I would rather not learn a new scripting language (e.g. R).
For what it's worth, it is quite straightforward to do in Excel using =NORMINV(RAND(), mean, stdev). Does anyone have a clever way of replicating this function in ImageJ?
Many thanks,
Greg.
__________________________________________
Gregory James
Clinical Scientist (Nuclear Medicine)
Department of Physics and Nuclear Medicine
City Hospital
Dudley Road
Birmingham
B18 7QH
0121 507 4043
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