aboutsummaryrefslogtreecommitdiff
path: root/man/calplot.lm.Rd
diff options
context:
space:
mode:
Diffstat (limited to 'man/calplot.lm.Rd')
-rw-r--r--man/calplot.lm.Rd12
1 files changed, 6 insertions, 6 deletions
diff --git a/man/calplot.lm.Rd b/man/calplot.lm.Rd
index de63022..bf3f616 100644
--- a/man/calplot.lm.Rd
+++ b/man/calplot.lm.Rd
@@ -5,12 +5,11 @@
\title{Plot calibration graphs from univariate linear models}
\description{
Produce graphics of calibration data, the fitted model as well
- as prediction and confidence bands.
+ 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)
+ calplot(object, xlim = c("auto", "auto"), ylim = c("auto", "auto"),
+ xlab = "Concentration", ylab = "Response", alpha=0.05, varfunc = NULL)
}
\arguments{
\item{object}{
@@ -40,7 +39,8 @@
}
\value{
A plot of the calibration data, of your fitted model as well as lines showing
- the confidence limits as well as the prediction limits.
+ the confidence limits. Prediction limits are only shown for models from
+ unweighted regression.
}
\note{
Prediction bands for models from weighted linear regression require weights
@@ -51,7 +51,7 @@
}
\examples{
data(massart97ex3)
-m <- lm(y ~ x, data=massart97ex3)
+m <- lm(y ~ x, data = massart97ex3)
calplot(m)
}
\author{

Contact - Imprint