diff options
author | ranke <ranke@5fad18fb-23f0-0310-ab10-e59a3bee62b4> | 2006-05-12 21:59:33 +0000 |
---|---|---|
committer | ranke <ranke@5fad18fb-23f0-0310-ab10-e59a3bee62b4> | 2006-05-12 21:59:33 +0000 |
commit | 69504b635d388507bce650c44b3bfe17cad3383e (patch) | |
tree | 120114ff6dc2d1aeb4716efef90d71257ac47501 /man/din32645.Rd | |
parent | 6d118690c0cae02fc5cd4b28c1a67eecde4d9f60 (diff) |
- Fixed the inverse prediction
- Now I have a working approach for the calculation of LOD and LOQ,
but it seems to be different from what everybody else is doing
(e.g. Massart chaper 13). I like it, however. Maybe it even
yields a paper.
git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@8 5fad18fb-23f0-0310-ab10-e59a3bee62b4
Diffstat (limited to 'man/din32645.Rd')
-rw-r--r-- | man/din32645.Rd | 12 |
1 files changed, 11 insertions, 1 deletions
diff --git a/man/din32645.Rd b/man/din32645.Rd index 1a3c046..d251b7c 100644 --- a/man/din32645.Rd +++ b/man/din32645.Rd @@ -13,9 +13,19 @@ data(din32645) m <- lm(y ~ x, data=din32645) calplot(m) -prediction <- inverse.predict(m,3500,alpha=0.01) +(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) |