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-rw-r--r--man/calplot.lm.Rd5
-rw-r--r--man/chemCal-package.Rd17
-rw-r--r--man/din32645.Rd16
-rw-r--r--man/draper.Rd9
-rw-r--r--man/inverse.predict.Rd6
5 files changed, 38 insertions, 15 deletions
diff --git a/man/calplot.lm.Rd b/man/calplot.lm.Rd
index c2b8116..efdea3d 100644
--- a/man/calplot.lm.Rd
+++ b/man/calplot.lm.Rd
@@ -13,8 +13,9 @@
}
\arguments{
\item{object}{
- A univariate model object of class \code{\link{lm}} with model formula
- \code{y ~ x} or \code{y ~ x - 1}.
+ 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.
diff --git a/man/chemCal-package.Rd b/man/chemCal-package.Rd
new file mode 100644
index 0000000..a11744e
--- /dev/null
+++ b/man/chemCal-package.Rd
@@ -0,0 +1,17 @@
+\name{chemCal-package}
+\alias{chemCal-package}
+\docType{package}
+\title{
+Calibration functions for analytical chemistry
+}
+\description{
+See \url{../DESCRIPTION}
+}
+\details{
+There is a package vignette located in \url{../doc/chemCal.pdf}.
+}
+\author{
+Author and Maintainer: Johannes Ranke <jranke@uni-bremen.de>
+}
+\keyword{manip}
+}
diff --git a/man/din32645.Rd b/man/din32645.Rd
index 0a2a790..1a3c046 100644
--- a/man/din32645.Rd
+++ b/man/din32645.Rd
@@ -9,7 +9,19 @@
\format{
A dataframe containing 10 rows of x and y values.
}
-\source{
- \url{http://www.uft.uni-bremen.de/chemie}
+\examples{
+data(din32645)
+m <- lm(y ~ x, data=din32645)
+calplot(m)
+prediction <- inverse.predict(m,3500,alpha=0.01)
+# This should give 0.074 according to DIN (cited from the Dintest test data)
+round(prediction$Confidence,3)
+}
+\references{
+ DIN 32645 (equivalent to ISO 11843)
+
+ Dintest. Plugin for MS Excel for evaluations of calibration data. Written
+ by Georg Schmitt, University of Heidelberg.
+ \url{http://www.rzuser.uni-heidelberg.de/~df6/download/dintest.htm}
}
\keyword{datasets}
diff --git a/man/draper.Rd b/man/draper.Rd
deleted file mode 100644
index 6a8de00..0000000
--- a/man/draper.Rd
+++ /dev/null
@@ -1,9 +0,0 @@
-\name{draper}
-\alias{draper}
-\title{Regression example with repeated measurements}
-\usage{data(draper)}
-\references{Draper and Smith, Applied Regression Analysis (1981), p. 38}
-\format{A dataframe with 24 observations on 2 variables}
-\description{An example of a regression with multiple measurements per
-factor level.}
-\keyword{datasets}
diff --git a/man/inverse.predict.Rd b/man/inverse.predict.Rd
index 48534c4..d773e58 100644
--- a/man/inverse.predict.Rd
+++ b/man/inverse.predict.Rd
@@ -1,6 +1,7 @@
\name{inverse.predict}
\alias{inverse.predict}
\alias{inverse.predict.lm}
+\alias{inverse.predict.rlm}
\alias{inverse.predict.default}
\title{Predict x from y for a linear calibration}
\usage{inverse.predict(object, newdata,
@@ -9,8 +10,9 @@
}
\arguments{
\item{object}{
- A univariate model object of class \code{\link{lm}} with model formula
- \code{y ~ x} or \code{y ~ x - 1}.
+ 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{newdata}{
A vector of observed y values for one sample.

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