plot_km {packHV}

Kaplan-Meier plot with number of subjects at risk below

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"))