From 966da79af48c371c05dd8011702ef2bd3b1d1e03 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 1 Mar 2018 10:35:09 +0100 Subject: Static documentation rebuilt using current pkgdown --- docs/reference/massart97ex3.html | 34 ++++++++++++++++++++++------------ 1 file changed, 22 insertions(+), 12 deletions(-) (limited to 'docs/reference/massart97ex3.html') diff --git a/docs/reference/massart97ex3.html b/docs/reference/massart97ex3.html index 2946139..d737fc5 100644 --- a/docs/reference/massart97ex3.html +++ b/docs/reference/massart97ex3.html @@ -18,19 +18,28 @@ + + + + + + + - + + + @@ -76,7 +85,7 @@

Sample dataset from p. 188 to test the package.

- 
data(massart97ex3)
+ 
data(massart97ex3)

Format

@@ -100,9 +109,9 @@ w <- round(1 / (s^2), digits = 3) weights <- w[factor(x)] m <- lm(y ~ x, w = weights) -calplot(m)
#> Warning: Assuming constant prediction variance even though model fit is weighted
+calplot(m)
#> Warning: Assuming constant prediction variance even though model fit is weighted
# The following concords with the book p. 200 -inverse.predict(m, 15, ws = 1.67) # 5.9 +- 2.5
#> $Prediction +inverse.predict(m, 15, ws = 1.67) # 5.9 +- 2.5
#> $Prediction #> [1] 5.865367 #> #> $`Standard Error` @@ -113,7 +122,7 @@ #> #> $`Confidence Limits` #> [1] 3.387082 8.343652 -#>
inverse.predict(m, 90, ws = 0.145) # 44.1 +- 7.9
#> $Prediction +#>
inverse.predict(m, 90, ws = 0.145) # 44.1 +- 7.9
#> $Prediction #> [1] 44.06025 #> #> $`Standard Error` @@ -128,7 +137,7 @@ # The LOD is only calculated for models from unweighted regression # with this version of chemCal m0 <- lm(y ~ x) -lod(m0)
#> $x +lod(m0)
#> $x #> [1] 5.407085 #> #> $y @@ -136,7 +145,7 @@ #> 13.63911 #>
# Limit of quantification from unweighted regression -loq(m0)
#> $x +loq(m0)
#> $x #> [1] 13.97764 #> #> $y @@ -148,15 +157,16 @@ # If we are not using a variance function, we can use the weight from # the above example as a first approximation (x = 15 is close to our # loq approx 14 from above). -loq(m, w.loq = 1.67)
#> $x +loq(m, w.loq = 1.67)
#> $x #> [1] 7.346195 #> #> $y #> 1 #> 17.90777 -#>
# The weight for the loq should therefore be derived at x = 7.3 instead -# of 15, but the graphical procedure of Massart (p. 201) to derive the -# variances on which the weights are based is quite inaccurate anyway.
+#>
# The weight for the loq should therefore be derived at x = 7.3 instead +# of 15, but the graphical procedure of Massart (p. 201) to derive the +# variances on which the weights are based is quite inaccurate anyway. +
-

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+

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