cox.plot: Forest plot for uni/multivariable Cox regressions

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

Forest plot for uni/multivariable Cox regressions

Description

Plotting (Forest plot) of uni/multivariable Cox regressions.

Usage

cox.plot(
  pop.cutoff.obj,
  time.var,
  event.var,
  cox.type,
  variables,
  ref.var,
  xlim = c(0, 10),
  return.stats = T,
  log.scale = F,
  hide.nosig = F
)

Arguments

pop.cutoff.obj	An object generated through FlowCT::pop.cutoff().
time.var	Survival time variable.
event.var	Variable with event censoring.
cox.type	Cox regression type: "unicox" or "multicox".
variables	Vector with variables for performing the regression. If nothing is detailed (NULL, default), all immune's cutoffs will be used.
ref.var	Variable for being used as reference. Default, alphabetical order.
xlim	Limits for x-axis plotting. Default = c(0,10).
return.stats	Logical indicating if calculated statistics must be returned. Default = TRUE.
log.scale	Should x-axis be log-transformed (log10). Default = FALSE.
hide.nosig	Hide non-significant cell populations. Default = FALSE.

Examples

## Not run: 
unicox <- cox.plot(pop.cutoff.obj = pop_cuts, time.var, event.var, 
   cox.type = "multicox", ref.var = "low")

## End(Not run)

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