From ccc70e82af4ba435f0a71ba1ae4e0e92045c3852 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Fri, 5 May 2017 12:46:31 +0200 Subject: Static docs except articles rebuilt with current pkgdown --- docs/reference/add_err.html | 82 ++++++++++++++++++++++++--------------------- 1 file changed, 43 insertions(+), 39 deletions(-) (limited to 'docs/reference/add_err.html') diff --git a/docs/reference/add_err.html b/docs/reference/add_err.html index aab42f56..c9e6bf3f 100644 --- a/docs/reference/add_err.html +++ b/docs/reference/add_err.html @@ -6,8 +6,7 @@ - - — add_err • mkin +Add normally distributed errors to simulated kinetic degradation data — add_err • mkin @@ -26,12 +25,14 @@ - + + + @@ -71,6 +72,9 @@
  • Performance benefit by using compiled model definitions in mkin
    • +
  • + Calculation of time weighted average concentrations with mkin +
  • @@ -96,8 +100,7 @@
    -

    -

    +

    Add normally distributed errors to simulated kinetic degradation data

    @@ -106,45 +109,46 @@ may depend on the predicted value and is specified as a standard deviation.

    - 
    add_err(prediction, sdfunc,
+    
    add_err(prediction, sdfunc,
           n = 1000, LOD = 0.1, reps = 2,
           digits = 1, seed = NA)
    
     
     
     Arguments
    
-    
    
-      
    prediction
    
-      
    
-    A prediction from a kinetic model as produced by mkinpredict.
-  
    
-      
    sdfunc
    
-      
    
-    A function taking the predicted value as its only argument and returning
+    
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
    prediction
    A prediction from a kinetic model as produced by mkinpredict.
    sdfunc
    A function taking the predicted value as its only argument and returning
     a standard deviation that should be used for generating the random error
-    terms for this value.
-  
-      
    n
    
-      
    
-    The number of datasets to be generated.
-  
    
-      
    LOD
    
-      
    
-    The limit of detection (LOD). Values that are below the LOD after adding
-    the random error will be set to NA.
-  
    
-      
    reps
    
-      
    
-    The number of replicates to be generated within the datasets.
-  
    
-      
    digits
    
-      
    
-    The number of digits to which the values will be rounded.
-  
    
-      
    seed
    
-      
    
-    The seed used for the generation of random numbers. If NA, the seed
-    is not set.
-  
    
-    
+    terms for this value.
    n
    The number of datasets to be generated.
    LOD
    The limit of detection (LOD). Values that are below the LOD after adding
+    the random error will be set to NA.
    reps
    The number of replicates to be generated within the datasets.
    digits
    The number of digits to which the values will be rounded.
    seed
    The seed used for the generation of random numbers. If NA, the seed
+    is not set.
    
     
     
    Value
    
 
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