make_state_map — make_state

Create mapping of binary representation to states displayed in final Sankey

Usage

make_state_map(
  id_data,
  none,
  collapse_states,
  absorbing_vars = NULL,
  censor_vars = NULL
)

id_data: List. One element for patient level order data, one element with states found in that data, one element with stages. Returned from sankey_id_data. Pro tip: if you want to reduce number of stages, edit the stages vector.
none: Character. How to label the "empty" state. Default is "None".
collapse_states: How to redefine states if combinations are anticipated. As a named list it allows users to identify how states should be grouped with unique identifiers. As a named vector it assigns a hierarchy in the order that the states appear. Default NULL.
absorbing_vars: Named character vector. Variables in cohort that indicate date/day of states that members cannot transition out of. Names of the vector will be names of the states shown in the Sankey.
censor_vars: Character vector. Variable names in cohort that indicate censoring date/day. If multiple, sankey_list_maker will use the minimum. If weight = FALSE the Sankey will use the names of the vector to label the states shown. If unnamed will group together under "Censored".

Vector of states that will be displayed in the Sankey and the numeric representation of each.