From 9e0dae397df8c18e7333d2604cae96b2a7927420 Mon Sep 17 00:00:00 2001 From: ranke Date: Fri, 23 Jun 2006 15:33:27 +0000 Subject: - inverse.predict now has a var.s argument instead of the never tested ss argument. This is documented in the updated vignette - loq() now has w.loq and var.loq arguments, and stops with a message if neither are specified and the model has weights. - calplot doesn't stop any more for weighted regression models, but only refrains from drawing prediction bands - Added method = "din" to lod(), now that I actually have it (DIN 32645) and was able to see which approximation is used therein. - removed the demos, as the examples and tests are already partially duplicated - The vignette is more of a collection of various notes, but should certainly be helpful for the user. - Version bump to 0.1-xxx git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@16 5fad18fb-23f0-0310-ab10-e59a3bee62b4 --- man/calplot.lm.Rd | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) (limited to 'man/calplot.lm.Rd') 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{ -- cgit v1.2.1