FastSurvplot: Fast way to draw a KM plot of ggplot style

In shijianasdf/BasicBioinformaticsAnalysisFromZhongShan: Launch Usual Clinical tool for Kind Yield

Description

Fast way to draw a KM plot of ggplot style

Usage

FastSurvplot(data, time = "OS.time", status = "OS.status",
  marker = "pT", color = NULL, size = 16, legend = "top",
  legend.title = "T status", title = NULL, pval = TRUE,
  pval.position = c(1, 1), conf.int = F, risk.table = F,
  linetype = "solid", surv.median.line = "none", ncensor.plot = F,
  saveplot = F, name = "GC")

Arguments

data	a data frame
time	the colname of time
status	the colname of status
marker	the marker you want to explore with KM plot
color	If color=NULL,it would use the color from mycolor in lucky package.You can also set self-defined colors
size	the size of plot
legend	the position of legend
legend.title	the title of legend
title	the title of the KM plot
pval	whether to output P value in KM plot
pval.position	the position of P value in KM plot
conf.int	whether to output confidence interval
risk.table	whether to output risk table
linetype	line type
surv.median.line	whether to show median line
ncensor.plot	whether to show ncensor plot
saveplot	whether to save the KM plot
name	part name of saved plot

Author(s)

Weibin Huang<[e-mail]>

See Also

ggsurvplot.

Examples

library(survival)
data("lung");
data = lung
data$status <- data$status -1
p <- FastSurvplot(data = data,
                  time = "time",
                  status = "status",
                  marker = "sex",
                  size = 10,
                  legend.title = "Sex",
                  pval.position = c(900,1))
p

shijianasdf/BasicBioinformaticsAnalysisFromZhongShan documentation built on Jan. 3, 2020, 10:08 p.m.