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/loq.html | 85 +++++++++++++++++++++++++------------------------ 1 file changed, 44 insertions(+), 41 deletions(-) (limited to 'docs/reference/loq.html') diff --git a/docs/reference/loq.html b/docs/reference/loq.html index c159638..2c7dc6a 100644 --- a/docs/reference/loq.html +++ b/docs/reference/loq.html @@ -8,21 +8,29 @@ Estimate a limit of quantification (LOQ) — loq • chemCal + - + - - + + + + + + + - + + - + - - + + + @@ -30,8 +38,8 @@ - + - + @@ -53,9 +61,10 @@ + - +
@@ -101,6 +114,7 @@
+
@@ -112,7 +126,6 @@
-

The limit of quantification is the x value, where the relative error of the quantification given the calibration model reaches a prespecified value 1/k. Thus, it is the solution of the equation @@ -120,19 +133,18 @@ where c(L) is half of the length of the confidence interval at the limit L (DIN 32645, equivalent to ISO 11843). c(L) is internally estimated by inverse.predict, and L is obtained by iteration.

-
- 
loq(object, …, alpha = 0.05, k = 3, n = 1, w.loq = "auto",
-    var.loq = "auto", tol = "default")
- + 
loq(object, ..., alpha = 0.05, k = 3, n = 1, w.loq = "auto",
+    var.loq = "auto", tol = "default")
+

Arguments

- - + @@ -177,25 +189,22 @@ 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. If weights are specified in the model, either w.loq or var.loq have to @@ -143,7 +155,7 @@

The error tolerance for the prediction of x values in the calculation.
…...

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

Value

The estimated limit of quantification for a model used for calibration.

-

Note

- IUPAC recommends to base the LOQ on the standard deviation of the signal where x = 0. - The calculation of a LOQ based on weighted regression is non-standard and therefore not tested. Feedback is welcome.

-

See also

Examples for din32645

-

Examples

- 
m <- lm(y ~ x, data = massart97ex1)
+    
m <- lm(y ~ x, data = massart97ex1)
 loq(m)
#> $x
 #> [1] 13.97764
 #> 
@@ -210,36 +219,30 @@
 #> [1] 22.68539
 #> 

   

-  
 
+
       
    
 
   
 
+
   
 
 
+
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