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/calplot.lm.html | 93 +++++++++++++++++++++++------------------- 1 file changed, 52 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 5a33491..910e4ea 100644 --- a/docs/reference/calplot.lm.html +++ b/docs/reference/calplot.lm.html @@ -18,19 +18,29 @@ + + + + + + + - + + + @@ -77,45 +87,46 @@ 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

-    

-      
object

-      

-    A univariate model object of class lm or 
+    
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
object
A univariate model object of class lm or 
     rlm 
-    with model formula y ~ x or y ~ x - 1.
-  
-      
xlim

-      

-    The limits of the plot on the x axis.
-  

-      
ylim

-      

-    The limits of the plot on the y axis.
-  

-      
xlab

-      

-    The label of the x axis.
-  

-      
ylab

-      

-    The label of the y axis.
-  

-      
alpha

-      

-    The error tolerance level for the confidence and prediction bands. Note that this 
+    with model formula y ~ x or y ~ x - 1.
xlim
The limits of the plot on the x axis.
ylim
The limits of the plot on the y axis.
xlab
The label of the x axis.
ylab
The label of the y axis.
alpha
The error tolerance level for the confidence and prediction bands. Note that this 
     includes both tails of the Gaussian distribution, unlike the alpha and beta parameters
-    used in lod (see note below).
-  
-      
varfunc

-      

-    The variance function for generating the weights in the model.
-    Currently, this argument is ignored (see note below).
-  

-    
+    used in lod (see note below).
varfunc
The variance function for generating the weights in the model.
+    Currently, this argument is ignored (see note below).

     
     
Value

 
@@ -129,16 +140,16 @@
   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,
-  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
+  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)
-calplot(m)

+calplot(m)
@@ -167,7 +178,7 @@
-

Site built with pkgdown.

+

Site built with pkgdown.

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