plot_mstate {oncomsm}

Swimmer plot of multi-state data

Description

plot_mstate() plots data in 'multi-state-format' as swimmer plot.

Usage

plot_mstate(
  data,
  model,
  now = max(tbl_mstate$t_max),
  relative_to_sot = TRUE,
  ...
)

Arguments

data

a data frame with multi-state data; variables are ⁠subject_id<chr>⁠, ⁠group_id<chr>⁠, ⁠subject_id<chr>⁠, ⁠from<chr>⁠, ⁠to<chr>⁠, ⁠t_min<dbl>⁠, ⁠t_max<dbl>⁠, ⁠t_sot<dbl>⁠, where to and from indicate the state from which and into which the transitions occurs (stable, response, progression), t_max and t_min specify the interval in which the transition occurred relative to t_sot (start of treatment).

model

an object of class srpmodel containing prior information

now

the current time relative to the start of the trial

relative_to_sot

logical, should the timeline be relative to the start of trial or the start of treatment for each individual

...

further arguments passed to method implementations

Value

a ggplot2::ggplot object

See Also

visits_to_mstate()

Examples

mdl <- create_srpmodel(A = define_srp_prior())
tbl_visits <- sample_predictive(mdl, n_per_group = 5L, nsim = 1, seed = 468L)
tbl_mstate <- visits_to_mstate(tbl_visits, mdl)
plot_mstate(tbl_mstate, mdl)