Dear all,
I am working with event sequence data and have already run dissimilarity-based analyses using the following code:
idcost <- rep(1, 11)
dd <- seqedist(seqe_obj, idcost = idcost, vparam = 0.1)
I would now like to visually present the findings in a format similar to the attached image, which includes three rows of plots per cluster (sequence index plots, survival curves, and state distribution plots).
Could you please advise whether any further steps are needed or share example code to produce this kind of three-row layout?
Regards,
Fouziah