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\name{event.convert}
\alias{event.convert}
\title{
Event Conversion for Time-to-Event Data
}
\description{
Convert a two-column data matrix with event time and event code into
multiple column event time with one event in each column
}
\usage{
event.convert(data2, event.time = 1, event.code = 2)
}
\arguments{
\item{data2}{
a matrix or dataframe with at least 2 columns; by default, the first
column contains the event time and the second column contains the k
event codes (e.g. 1=dead, 0=censord)
}
\item{event.time}{
the column number in data contains the event time
}
\item{event.code}{
the column number in data contains the event code
}
}
\details{
In the survival analysis, the data typically come in two
columns: one column containing survival time and the other
containing censoring indicator or event code. The
\code{event.convert} function converts this type of data into
multiple columns of event times, one column of each event
type, suitable for the \code{event.chart} function.
}
\author{
J. Jack Lee and Kenneth R. Hess
\cr
Department of Biostatistics
\cr
University of Texas
\cr
M.D. Anderson Cancer Center
\cr
Houston, TX 77030
\cr
\email{jjlee@mdanderson.org}, \email{khess@mdanderson.org}
Joel A. Dubin
\cr
Department of Statistics
\cr
University of Waterloo
\cr
\email{jdubin@uwaterloo.ca}
}
\seealso{
\code{\link{event.history}}, \code{\link{Date}}, \code{\link{event.chart}}
}
\examples{
# To convert coded time-to-event data, then, draw an event chart:
surv.time <- c(5,6,3,1,2)
cens.ind <- c(1,0,1,1,0)
surv.data <- cbind(surv.time,cens.ind)
event.data <- event.convert(surv.data)
event.chart(cbind(rep(0,5),event.data),x.julian=TRUE,x.reference=1)
}
\keyword{hplot}
\keyword{survival}
|
