I’ve been replicating the example from the vignette several times (100x) and each time I get a different number of interactions. I tried to set the brownianNoise.seed to a given value and then run again 100 times in this case I get a different number of interactions the first 6 iterations, but after that, it gets always the same value. (code attached)
I was wondering how could I get ALWAYS the same value?, meaning, if I run the same code (with the brownianNoise.seed) I get the same value 100 times.
I also tried to set a seed (set.seed) before running chicagoPipeline, together with the brownianNoise.seed, and happens the same, the first 6 iterations get different values and after that the same value.
I also tried to use the whole dataset to estimateBrownianComponent, to remove the sampling process, but again happens the same.
I’d like to have a reproducible analysis, and get always the same values whenever I run it.
Thanks in advance.