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 --- tests/massart97.R | 25 ++++++++++++++++--------- 1 file changed, 16 insertions(+), 9 deletions(-) (limited to 'tests/massart97.R') diff --git a/tests/massart97.R b/tests/massart97.R index 7170ec4..58119d9 100644 --- a/tests/massart97.R +++ b/tests/massart97.R @@ -1,12 +1,19 @@ -library(chemCal) +require(chemCal) data(massart97ex3) attach(massart97ex3) -yx <- split(y,x) -ybar <- sapply(yx,mean) -s <- round(sapply(yx,sd),digits=2) -w <- round(1/(s^2),digits=3) +yx <- split(y, x) +ybar <- sapply(yx, mean) +s <- round(sapply(yx, sd), digits = 2) +w <- round(1 / (s^2), digits = 3) weights <- w[factor(x)] -m <- lm(y ~ x,w=weights) -# The following concords with the book -inverse.predict(m, 15, ws = 1.67) -inverse.predict(m, 90, ws = 0.145) +m <- lm(y ~ x, w = weights) +#calplot(m) + +inverse.predict(m, 15, ws = 1.67) # 5.9 +- 2.5 +inverse.predict(m, 90, ws = 0.145) # 44.1 +- 7.9 + +m0 <- lm(y ~ x) +lod(m0) + +loq(m0) +loq(m, w.loq = 1.67) -- cgit v1.2.1