km_plot_fancy: Title a fancy KM curve plot with p-value in the plot
In LittleBeannie/demo: a R package for demo in Roche inernship

Description Usage Arguments Value

View source: R/functions.R

Title a fancy KM curve plot with p-value in the plot

km_plot_fancy(model.formula = survfit(Surv(time, status) ~ trt, data =
  veteran), pvalue.TF = TRUE, conf.int.TF = TRUE,
  x.lab = "Time in Days", x.interval = 200, risk.table.style = "abs",
  n.censor.plot.TF = TRUE, surv.median.line.style = "hv",
  legend = c("group 1", "group 2"))

`model.formula`	the survival formula
`pvalue.TF`	whether showing the p-value or not
`conf.int.TF`	whether showing the confidence interval or not
`x.lab`	the label of x-axis
`x.interval`	the break of x-axis
`risk.table.style`	c('absolute', 'percentage','abs_pct') show both absolute number or/and percentage of individuals at risk
`n.censor.plot.TF`	to plot the number of censored subjects at time t. As suggested by Marcin Kosinski, This is a good additional feedback to survival curves, so that one could realize: how do survival curves look like, what is the number of risk set AND what is the cause that the risk set become smaller: is it caused by events or by censored events?
`surv.median.line.style`	horizontal/vertical line at median survival using the argument surv.median.line. Allowed values include one of c(“none”, “hv”, “h”, “v”). v: vertical, h:horizontal.
`legend`	to change the legend labels.