https://github.com/cran/lattice
Tip revision: 6b8ad83eb24dffede06844ab1bcc4d4c6639bc3c authored by Deepayan Sarkar on 19 October 2002, 00:00:00 UTC
version 0.6-5
version 0.6-5
Tip revision: 6b8ad83
qqmath.Rd
\name{qqmath}
\alias{qqmath}
\title{ Q-Q Plot with Theoretical Distribution }
\description{
Quantile-Quantile plot of a sample and a theoretical distribution
}
\synopsis{
qqmath(formula, data = parent.frame(), aspect = "fill", layout = NULL,
panel = panel.qqmath, prepanel = NULL, scales = list(), strip = TRUE,
groups = NULL, xlab, xlim, ylab, ylim, f.value = ppoints,
distribution = qnorm, ..., subscripts = !is.null(groups),
subset = TRUE)
}
\usage{
qqmath(formula, distribution = qnorm, f.value = ppoints,...)
}
\arguments{
\item{formula}{formula of the form \code{~ x | g1 * g2 * \ldots},
where \code{x} must be a numeric.
}
\item{distribution}{ a quantile function that takes a vector of
probabilities as argument and produces the corresponding
quantiles. Possible values are \code{qnorm,qunif} etc.
Distributions with other required arguments need to be passed in as
user defined functions. This is also passed in as an argument to the
panel function (though not used by the default panel function),
and the prepanel function if specified, for use in the bery commonly
used \code{(pre)panel.qqmathline}.
}
\item{f.value}{function of a single integer (representing sample
size), returning a vector of probabilities corresponding to which
quantiles should be plotted.
}
\item{\dots}{Other arguments}
}
\value{
An object of class trellis, by default plotted by \code{print.trellis}.
}
\details{
These and all other high level Trellis functions have several
arguments in common. These are extensively documented only in the
help page for \code{xyplot}, which should be consulted to learn more
detailed usage.
}
\author{Deepayan Sarkar \url{deepayan@stat.wisc.edu}}
\seealso{\code{\link{xyplot}}, \code{\link{panel.qqmath}},
\code{\link{panel.qqmathline}}, \code{\link{prepanel.qqmathline}},
\code{\link{Lattice}}
}
\examples{
qqmath(~ rnorm(100), distribution = function(p) qt(p, df = 10))
data(singer)
qqmath(~ height | voice.part, aspect = 1, data = singer)
}
\keyword{dplot}