From 43d58935483e0d9dda7a74c029e7d7d2adad9ed7 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 20 May 2020 08:44:47 +0200 Subject: Static documentation rebuilt by pkgdown::build_site() --- docs/reference/lod.html | 88 ++++++++++++++++++++++++------------------------- 1 file changed, 44 insertions(+), 44 deletions(-) (limited to 'docs/reference/lod.html') diff --git a/docs/reference/lod.html b/docs/reference/lod.html index dcde1b3..e5a1158 100644 --- a/docs/reference/lod.html +++ b/docs/reference/lod.html @@ -8,21 +8,29 @@ Estimate a limit of detection (LOD) — lod • chemCal + - + - - + + + + + + + - + + - + - - + + + @@ -30,8 +38,8 @@ - + - + @@ -54,9 +62,10 @@ + - +
@@ -102,6 +115,7 @@
+
@@ -113,7 +127,6 @@
-

The decision limit (German: Nachweisgrenze) is defined as the signal or analyte concentration that is significantly different from the blank signal with a first order error alpha (one-sided significance test). @@ -122,23 +135,22 @@ concentration where the probability that the signal is not detected although the analyte is present (type II or false negative error), is beta (also a one-sided significance test).

-
- 
lod(object, …, alpha = 0.05, beta = 0.05, method = "default", tol = "default")
- + 
lod(object, ..., alpha = 0.05, beta = 0.05, method = "default", tol = "default")
+

Arguments

- - + @@ -165,12 +177,11 @@ divided by 1000. Can be set to a numeric value to override this.

object

A univariate model object of class lm or - rlm +

A univariate model object of class lm or + rlm with model formula y ~ x or y ~ x - 1, optionally from a weighted regression.
…...

Placeholder for further arguments that might be needed by future implementations.
- +

Value

A list containig the corresponding x and y values of the estimated limit of detection of a model used for calibration.

-

Note

- The default values for alpha and beta are the ones recommended by IUPAC. @@ -178,9 +189,8 @@ xD from the LOD in the signal domain SD is done by simply inverting the calibration function (i.e. assuming a known calibration function). - The calculation of a LOD from weighted calibration models requires - a weights argument for the internally used predict.lm + a weights argument for the internally used predict.lm function, which is currently not supported in R.

-

References

Massart, L.M, Vandenginste, B.G.M., Buydens, L.M.C., De Jong, S., Lewi, P.J., @@ -192,14 +202,12 @@

Currie, L. A. (1997) Nomenclature in evaluation of analytical methods including detection and quantification capabilities (IUPAC Recommendations 1995). Analytica Chimica Acta 391, 105 - 126.

-

See also

Examples for din32645

-

Examples

- 
m <- lm(y ~ x, data = din32645)
+    
m <- lm(y ~ x, data = din32645)
 lod(m)
#> $x
 #> [1] 0.08655484
 #> 
@@ -215,38 +223,30 @@
 #> [1] 3155.393
 #> 

   

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+
       
    
 
   
 
+
   
 
 
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