simrecPlot: simrecPlot

Description

This function allows plotting of recurrent event data.

Usage

simrecPlot(data, id = "id", start = "start", stop = "stop", status = "status")

Value

The output is a plot of the data with a bullet indicating a recurrent event and a circle indicating censoring.

Arguments

data: A data set of recurrent event data to be plotted. The input-data must include columns corresponding to: id (patient-ID), start (= beginning of an interval where the patient is at risk for an event), stop (= end of the interval due to an event or censoring), status (= an indicator of the patient status at stop with = 0 censoring, 1 = event)
id: the name of the id column, default is "id"
start: the name of the start column, default is "start"
stop: the name of the stop column, default is "stop"
status: the name of the status column, default is "status"

Author

Katharina Ingel, Stella Preussler, Antje Jahn-Eimermacher. Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, Germany

Examples

Run this code

### Example:
### First simulate a sample of 10 individuals (for more details see the help of \code{simrec})
N <- 10
dist.x <- c("binomial", "normal")
par.x <- list(0.5, c(0, 1))
beta.x <- c(0.3, 0.2)
dist.z <- "gamma"
par.z <- 0.25
dist.rec <- "weibull"
par.rec <- c(1, 2)
fu.min <- 2
fu.max <- 2
cens.prob <- 0.2
dfree <- 30 / 365
pfree <- 0.5
simdata <- simrec(
  N, fu.min, fu.max, cens.prob, dist.x, par.x, beta.x,
  dist.z, par.z, dist.rec, par.rec, pfree, dfree
)
simrecPlot(simdata)