plot_km: Kaplan-Meier plot with number of subjects at risk below

In packHV: A few Useful Functions for Statisticians

Description

Kaplan-Meier plot with number of subjects at risk below

Usage

plot_km(formula, data, test = TRUE, xy.pvalue = NULL,
  conf.int = FALSE, times.print = NULL, nrisk.labels = NULL,
  legend = NULL, xlab = NULL, ylab = NULL, ylim = c(0, 1.02),
  left = 4.5, bottom = 5, cex.mtext = par("cex"), lwd = 2,
  lty = 1, col = NULL, ...)

Arguments

formula	same formula than in survfit (Surv(time,cens)~group or Surv(time,cens)~1), where cens must equal to 0 (censorship) or 1 (failure)
data	data frame with time, cens and group
test	boolean, TRUE to compute and display the p-value of the log-rank test
xy.pvalue	numeric vector of length 2, coordinates where to display the p-value of the log-rank test
conf.int	boolean, TRUE to display the confidence interval of the curve(s)
times.print	numeric vector, times at which to display the numbers of subjects at risk
nrisk.labels	character vector to modify the levels of group in the table below the curve(s)
legend	character string ("bottomright" for example) or numeric vector (c(x,y)), where to place the legend of the curve(s)
xlab	character string, label of the time axis
ylab	character string, label of the y axis
ylim	numeric vector of length 2, minimum and maximum of the y-axis
left	integer, size of left margin
bottom	integer, number of lines in addition of the table below the graph
cex.mtext	numeric, size of the numbers of subjects at risk
lwd	width of the Kaplan-Meier curve(s)
lty	type of the Kaplan-Meier curve(s)
col	color(s) of the Kaplan-Meier curve(s)
...	other arguments to be passed in plot.survfit

Value

None

Author(s)

Hugo Varet

Examples

cgd$time=cgd$tstop-cgd$tstart
plot_km(Surv(time,status)~sex,data=cgd,col=c("blue","red"))

Example output

Loading required package: survival

packHV documentation built on May 2, 2019, 5:40 a.m.