ggsurv: KM Curves with ggplot generic function to create a ggplot...

In jachan1/repFxns: Utility Functions for Reports

Usage

ggsurv(s, ...)

Arguments

s	survival object
CI	include confidence interval (default TRUE)
plot.cens	plot marks to indicate a censored subject (default TRUE)
surv.col	colors to use for survival curves. Should match number of groups.
cens.col	color of censor marks
cens.shape	shape of censor marks
lty.est	line type for survival curve
lty.ci	line type for confidence interval
xlab	label for x axis (default 'Time')
ylab	label for y axis (default ”)
main	title for plot (default ”)
cumProb	plot cumulative probability instead of survival (default FALSE)
yTicks	number of ticks on the y axis
addCounts	add number still at risk above the x axis. This is an attempt to replicate SAS behavior. It does not always give good results (default FALSE)
bw	print in black and white (default FALSE)
legend_title	title to use for the legend
legend_pos	where to position the legend

Examples

require(survival)
sv1 <- with(ovarian, Surv(futime, fustat))

## fit intercept only survival
sf1 <- survfit(sv1 ~ 1, ovarian)
## basic km curve
ggsurv(sf1)
## cumulative probability instead of survival
ggsurv(sf1, cumProb=T)
## add in survival counts
ggsurv(sf1, cumProb=T, addCounts=T)

## fit model with two strata
sf2 <- survfit(sv1 ~ resid.ds, ovarian)
## basic km curve
ggsurv(sf2, CI=F)
## add in confidence intervals
ggsurv(sf2, CI=T)
## cumulative probability instead of survival
ggsurv(sf2, cumProb=T)
## add in survival counts
ggsurv(sf2, cumProb=T, addCounts=T)

jachan1/repFxns documentation built on July 20, 2021, 10:51 p.m.