Thanks! I have another question, I have 1000 different runs and some of them is better from others, is there a efficient way to choose only the runs with the best scores? and then use AnalysisReplicaExchange0 macro on a reduced list with the best scores?
I ran modeling.py multiple times and created different output folders that each of them contain a stat file. Now I want to run clustering.py on all the stat files in the different folders, how can I do it?
Assuming you mean you want to merge multiple runs into one large ensemble and cluster the whole thing using the AnalysisReplicaExchange0 macro, just set the merge_directories argument to a list of all the directories containing your stat files (and RMF trajectories).