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\name{din32645}
\docType{data}
\alias{din32645}
\title{Calibration data from DIN 32645}
\description{
Sample dataset to test the package.
}
\usage{data(din32645)}
\format{
A dataframe containing 10 rows of x and y values.
}
\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)
# According to Dintest, we should get 0.07, but we get 0.0759
lod(m, alpha = 0.01)
# In German, there is the "Erfassungsgrenze", with k = 2,
# and we should get 0.14 according to Dintest
lod(m, k = 2, alpha = 0.01)
# According to Dintest, we should get 0.21, we get 0.212
loq(m, alpha = 0.01)
}
\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}
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