How to fix a randomly generated sample in Matlab after making some changes to the code?
3 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Summer
el 7 de Ag. de 2015
Comentada: Summer
el 9 de Ag. de 2015
I need to have the same sample (same data points) that was generated from a large set of data in order to make some comparisons as I vary some conditions or parameters. However, the sample changes after each Matlab run. My current sampling is based on the use of "randperm" or sampling without replacement.
Any help would e greatly appreciated. Thanks.
0 comentarios
Respuesta aceptada
Stephen23
el 7 de Ag. de 2015
Editada: Stephen23
el 7 de Ag. de 2015
s = rng;
x = rand(1,5)
x =
0.8147 0.9058 0.1270 0.9134 0.6324
rng(s);
y = rand(1,5)
y =
0.8147 0.9058 0.1270 0.9134 0.6324
You can also use the seed option to reset the random numbers to a known starting point:
rng(N)
More information on this topic:
Más respuestas (0)
Ver también
Categorías
Más información sobre Loops and Conditional Statements en Help Center y File Exchange.
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!