surv.tree: Kaplan-Meier from survival tree

In jgarces02/FlowCT: A semi-automated workflow for deconvolution of immunophenotypic data and objective reporting on large datasets

Kaplan-Meier from survival tree

Description

Plot with a Kaplan-Meier curve with node leafs identified by recursive partitioning.

Usage

surv.tree(
  rpart.tree,
  tree,
  time.var,
  event.var,
  return.data = F,
  curve.type = "survival"
)

Arguments

rpart.tree	A object generated through FlowCT::rpart.tree().
tree	Specify the tree name, i.e. "original" or "pruned".
time.var	Survival time variable.
event.var	Variable with event censoring.
return.data	Metadata with node leafs distribution should be returned. Default = FALSE.
curve.type	Plotting curve methodology, i.e. "survival" (default) or "cumulative" (for progressions).

Examples

## Not run: 
surv.tree(rpart.tree = tr, tree = "original", time.var = "PFS", event.var = "PFS_c")

## End(Not run)

jgarces02/FlowCT documentation built on March 28, 2023, 12:42 p.m.