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-\name{calplot}
-\alias{calplot}
-\alias{calplot.default}
-\alias{calplot.lm}
-\title{Plot calibration graphs from univariate linear models}
-\description{
- Produce graphics of calibration data, the fitted model as well
- as confidence, and, for unweighted regression, prediction bands.
-}
-\usage{
- calplot(object, xlim = c("auto", "auto"), ylim = c("auto", "auto"),
- xlab = "Concentration", ylab = "Response", alpha=0.05, varfunc = NULL)
-}
-\arguments{
- \item{object}{
- A univariate model object of class \code{\link{lm}} or
- \code{\link[MASS:rlm]{rlm}}
- with model formula \code{y ~ x} or \code{y ~ x - 1}.
- }
- \item{xlim}{
- The limits of the plot on the x axis.
- }
- \item{ylim}{
- The limits of the plot on the y axis.
- }
- \item{xlab}{
- The label of the x axis.
- }
- \item{ylab}{
- The label of the y axis.
- }
- \item{alpha}{
- The error tolerance level for the confidence and prediction bands.
- }
- \item{varfunc}{
- The variance function for generating the weights in the model.
- Currently, this argument is ignored (see note below).
- }
-}
-\value{
- A plot of the calibration data, of your fitted model as well as lines showing
- the confidence limits. Prediction limits are only shown for models from
- unweighted regression.
-}
-\note{
- Prediction bands for models from weighted linear regression require weights
- for the data, for which responses should be predicted. Prediction intervals
- using weights e.g. from a variance function are currently not supported by
- the internally used function \code{\link{predict.lm}}, therefore,
- \code{calplot} does not draw prediction bands for such models.
-}
-\examples{
-data(massart97ex3)
-m <- lm(y ~ x, data = massart97ex3)
-calplot(m)
-}
-\author{
- Johannes Ranke
- \email{jranke@uni-bremen.de}
- \url{http://www.uft.uni-bremen.de/chemie/ranke}
-}
-\keyword{regression}

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