stabilitas: Extract the stability results of individuals from the output...
In microSTASIS: Microbiota STability ASsessment via Iterative cluStering

Description Usage Arguments Value Examples

Those individuals whose samples are clustered under the same label in list[[x]]$cluster sum 1. If samples are in different clusters sum 0. Then, this is done for all possible values of k and, finally, divided the sum by k, so obtaining a value between 0 and 1.

1	stabilitas(klist, common)

`klist`	input list corresponding to the output of `iterative_clustering()`.
`common`	pattern that separates the ID and the sampling time.

µSTASIS stability score (mS) for the individuals from the two selected sampling times.

t1_t2 <- paired_times(data = clr[,1:50], first = "_1",
                      second = "_25", common = "_0_")
klist_t1_t2 <- iterative_clustering(data = t1_t2, parallel = FALSE)
result_t1_t2 <- stabilitas(klist_t1_t2, common = "_0_")