Time to Event Plot

Generate a flexible KM plot with a risk table

tteplot(data, group_by, param, paramcd = "PARAMCD", aval = "AVAL",
  cnsr = "CNSR", reverse = FALSE, confint = 0.8, title = "",
  xlab = "", ylab = "", caption = "", size = "small")

Arguments

data	a dataframe containing the input data to plot (dataframe)
group_by	a column name containing a subgrouping factor to split the plot by (string)
param	the time-to-event parameter to plot (e.g. "OS") (string)
paramcd	the column name containing the parameter, default is "PARAMCD" (string)
aval	the column name containing the numeric analysis value, default is "AVAL" (string)
cnsr	the column name containing the censor value, default is "CNSR" (string)
reverse	boolean value controls whether the survival formula should be flipped, default is FALSE: Surv(CNSR - 1), if set to TRUE then behaves like Surv(1 - CNSR) (logical)
confint	confidence interval to calculate with, default is 0.8 (float between 0 and 1)
title	optional parameter, custom plot title (string)
xlab	optional parameter, custom x-axis plot label (string)
ylab	optional parameter, custom y-axis plot label (string)
caption	optional string to include as a caption on bottom of plot (string)
size	optional string to specify font size schema ("small" for PDF usage or "large" for Shiny apps) to use for plot, default is "small" (string)

Value

produces a Kaplan-Meier type survival plot

Examples

tteplot(
  data = ATE, group_by = "CHRT", param = "TFUC", reverse = TRUE,
  xlab = "Day on Study", ylab = "Proportion of Ulcer Closure"
)