surv.plot: Survival plots according cell cutoffs

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

Survival plots according cell cutoffs

Description

Once immune cell cutoffs are calculated, this function draw the subsequent Kaplan-Meier curves for specified populations.

Usage

surv.plot(
  pop.cutoff.obj,
  time.var,
  event.var,
  palette = "jco",
  variables,
  curve.type = "survival"
)

Arguments

pop.cutoff.obj	An object generated through FlowCT::pop.cutoff().
time.var	Survival time variable.
event.var	Variable with event censoring.
palette	Colors vector. Default = "jco".
variables	Vector with variables for drawing the survival curve. If nothing is detailed (NULL, default), all cutoffs will be plotted.
curve.type	Plotting curve methodology, i.e. "survival" (default) or "cumulative" (for progressions).

Examples

## Not run: 
surv.plot(pop_cuts, time.var = "PFS", event.var = "PFS_c", curve.type = "survival")

## End(Not run)

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