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\name{calplot}
\alias{calplot}
\title{Plot calibration graphs}
\description{
Produce graphics of calibration data, the fitted model as well
as prediction and confidence intervals.
}
\usage{
calplot(x,y,intercept=FALSE,measurand="substance x",xunit="mg/L",yunit="Area",level=0.95)
}
\arguments{
\item{x}{
A vector of x values.
}
\item{y}{
A vector of y values.
}
\item{intercept}{
A boolean describing if the calibration curve is to be forced
through zero.
}
\item{measurand}{
The name of what is being measured as a character vector.
}
\item{xunit}{
The unit of the given values on the x axis as a character vector.
}
\item{yunit}{
The unit of the y axis as a character vector. Defaults to "Area".
}
\item{level}{
The confidence level of the confidence and prediction bands. Defaults to
0.95.
}
}
\value{
A linear model object for y ~ x. You will also get a plot of the calibration
data, of your fitted model as well as lines showing the confidence limits and
the prediction limits.
}
\examples{
data(pahCalibration)
attach(pahCalibration)
\dontrun{calplot(conc,phenanthrene,"Phenanthrene","mg/L")}
detach(pahCalibration)
}
\author{
Johannes Ranke
\email{jranke@uni-bremen.de}
\url{http://www.uft.uni-bremen.de/chemie/ranke}
}
\keyword{regression}
|
