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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Rcode.r
\name{transrate.hld}
\alias{transrate.hld}
\title{Reorganize Data obtained from Human Life-Table Database into a Ratetable
Object}
\usage{
transrate.hld(file, cut.year, race)
}
\arguments{
\item{file}{a vector of file names which the data are to be read from. Must
be in .tex format and in the same format as the files in Human Life-Table
Database.}
\item{cut.year}{a vector of cutpoints for years. Must be specified when the
year spans in the files are not consecutive.}
\item{race}{a vector of race names for the input files.}
}
\value{
An object of class \code{ratetable}.
}
\description{
The function assists in reorganizing the .txt files obtained from Human
Life-Table Database (http://www.lifetable.de -> Data by Country) into a
ratetable object.
}
\details{
This function works with any table organised in the format provided by the
Human Life-Table Database, but currently only works with TypeLT 1 (i.e. age
intervals of length 1). The age must always start with value 0, but can end
at different values (when that happens, the last value is carried forward).
The rates between the cutpoints are taken to be constant.
}
\examples{
\dontrun{
finpop <- transrate.hld(c("FIN_1981-85.txt","FIN_1986-90.txt","FIN_1991-95.txt"))
}
\dontrun{
nzpop <- transrate.hld(c("NZL_1980-82_Non-maori.txt","NZL_1985-87_Non-maori.txt",
"NZL_1980-82_Maori.txt","NZL_1985-87_Maori.txt"),
cut.year=c(1980,1985),race=rep(c("nonmaori","maori"),each=2))
}
}
\references{
Package. Pohar M., Stare J. (2006) "Relative survival analysis
in R." Computer Methods and Programs in Biomedicine, \bold{81}: 272--278
Relative survival: Pohar, M., Stare, J. (2007) "Making relative survival
analysis relatively easy." Computers in biology and medicine, \bold{37}:
1741--1749.
}
\seealso{
\code{\link[survival:ratetable]{survival::ratetable}}, \code{\link{transrate.hmd}},
\code{\link{joinrate}}, \code{\link{transrate}}.
}
\keyword{survival}
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