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/calplot.lm.html | 85 ++++++++++++++++++++++-------------------- 1 file changed, 44 insertions(+), 41 deletions(-) (limited to 'docs/reference/calplot.lm.html') diff --git a/docs/reference/calplot.lm.html b/docs/reference/calplot.lm.html index 18ce82f..7822b7e 100644 --- a/docs/reference/calplot.lm.html +++ b/docs/reference/calplot.lm.html @@ -8,21 +8,29 @@ Plot calibration graphs from univariate linear models — calplot • chemCal + - + - - + + + + + + + - + + - + - - + + + @@ -30,11 +38,11 @@ - + - + @@ -48,9 +56,10 @@ + - +
@@ -96,6 +109,7 @@
+
@@ -107,22 +121,20 @@
-

Produce graphics of calibration data, the fitted model as well as confidence, and, for unweighted regression, prediction bands.

-
- 
calplot(object, xlim = c("auto", "auto"), ylim = c("auto", "auto"),
+    
calplot(object, xlim = c("auto", "auto"), ylim = c("auto", "auto"),
     xlab = "Concentration", ylab = "Response", alpha=0.05, varfunc = NULL)

-    
+
     
Arguments

     
-      
@@ -153,61 +165,52 @@
     Currently, this argument is ignored (see note below).

     
     

       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.

     

     

     

     

-    
+
     
Value

 
     
A plot of the calibration data, of your fitted model as well as lines showing
   the confidence limits. Prediction limits are only shown for models from
   unweighted regression.

-    
     
Note

 
     
Prediction bands for models from weighted linear regression require weights
   for the data, for which responses should be predicted. Prediction intervals
   using weights e.g. from a variance function are currently not supported by
-  the internally used function predict.lm, therefore,
+  the internally used function predict.lm, therefore,
   calplot does not draw prediction bands for such models.
  
 
It is possible to compare the calplot prediction bands with the
   lod values if the lod() alpha and beta parameters are
   half the value of the calplot() alpha parameter.

-    
 
     
Examples

-    
data(massart97ex3)
-m <- lm(y ~ x, data = massart97ex3)
+    
data(massart97ex3)
+m <- lm(y ~ x, data = massart97ex3)
 calplot(m)

   

-  
 
+
       
    
 
   
 
+
   
 
 
+
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