plot.surv.curve: Survival curve visualization with additional information.

In lixiangchun/lxctk: Li Xiangchun's tool-kit (lxctk)

Description

Survival curve visualization with additional information.

Usage

plot.surv.curve(gene, survdiff.formula, coxph.formula, data, ci.lab.xycoord=c(70,0.2), legend.xycoord=c(40,0.4), pngfig=NULL, main=gene, line.lwd=par("lwd"))

Arguments

gene	Variable of interest, e.g. a mutated gene.
survdiff.formula	An appropriate formula passed to survdiff, always put the variable-of-interest(VOI) as the last term.
coxph.formula	An appropriate formula for CoxPH regression analysis, alias put the VOI as the last term.
data	A data frame to be operated, column names must match those in the formula.
ci.lab.xycoord	The x and y coordinates for confidence interval.
legend.xycoord	The x and y coordinates for legend.
pngfig	A figure suffixed with .png, in which figure will be saved.
main	The main title for the figure.
line.lwd	Line width of survival curve.

See Also

survdiff,survfit,coxph

Examples

library(survival)
data("crcdat", package='lxctk')
survdiff.formula = as.formula("Surv(Survival.month, status) ~ hypermutated>0")
plot.surv.curve('hypermutated', survdiff.formula, survdiff.formula, data=crcdat, main="")

lixiangchun/lxctk documentation built on May 21, 2019, 6:44 a.m.