diff --git a/docs/articles/HalfNormal.html b/docs/articles/HalfNormal.html index e5366a9b..e12f91fb 100644 --- a/docs/articles/HalfNormal.html +++ b/docs/articles/HalfNormal.html @@ -73,7 +73,7 @@

The half-normal plots

Alicja Gosiewska

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2018-03-11

+

2018-03-27

diff --git a/docs/articles/Intorduction_into_model_audit.html b/docs/articles/Intorduction_into_model_audit.html index 25a9ce80..9fae0e02 100644 --- a/docs/articles/Intorduction_into_model_audit.html +++ b/docs/articles/Intorduction_into_model_audit.html @@ -73,7 +73,7 @@

Introduction into model audit

Alicja Gosiewska

-

2018-03-11

+

2018-03-27

diff --git a/docs/reference/audit.html b/docs/reference/audit.html index 1a27a5c8..22fd5f4b 100644 --- a/docs/reference/audit.html +++ b/docs/reference/audit.html @@ -156,7 +156,10 @@

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Examples

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library(MASS)
#> Warning: package ‘MASS’ was built under R version 3.4.3
model.glm <- glm(Postwt ~ Prewt + Treat + offset(Prewt), family = gaussian, data = anorexia)
+    
library(MASS)
#> Warning: package ‘MASS’ was built under R version 3.4.3
#> 
+#> Attaching package: ‘MASS’
#> The following object is masked from ‘package:auditor’:
+#> 
+#>     select
model.glm <- glm(Postwt ~ Prewt + Treat + offset(Prewt), family = gaussian, data = anorexia)
 audit.glm <- audit(model.glm)
 
 p.fun <- function(model, data){predict(model, data, response = "link")}
@@ -164,9 +167,9 @@ 
Examp
 
 
 library(randomForest)
#> Warning: package ‘randomForest’ was built under R version 3.4.3
#> randomForest 4.6-12
#> Type rfNews() to see new features/changes/bug fixes.
#> 
-#> Attaching package: ‘randomForest’
#> The following object is masked from ‘package:auditor’:
+#> Attaching package: ‘randomForest’
#> The following objects are masked from ‘package:auditor’:
 #> 
-#>     margin
model.rf <- randomForest(Species ~ ., data=iris)
+#>     combine, margin
model.rf <- randomForest(Species ~ ., data=iris)
 audit.rf <- audit(model.rf)

   

   
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+Lift Chart — plotLIFT • auditor
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Lift Chart

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Lift Chart shows the ratio of a model to a random guess.

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plotLIFT(object, ..., newdata = NULL, newy, groups = 10,
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object
An object of class ModelAudit
...
other modelAudit objects to be plotted together
newdata
optionally, a data frame in which to look for variables with which to plot CGains curve. If omitted, the data used to build model will be used.
newy
optionally, required if newdata used. Response vector for new data.
groups
number of groups
cumulative
boolean. If TRUE cumulative lift curve will be plotted.

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ggplot object

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See also

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plot.modelAudit

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Examples

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library(auditor)
+library(mlbench)
+library(randomForest)
+data("PimaIndiansDiabetes")
+
+model_rf <- randomForest(diabetes~., data=PimaIndiansDiabetes)
+au_rf <- audit(model_rf, label="rf")
+plotLIFT(au_rf)
#> Warning: NAs introduced by coercion

+model_glm <- glm(diabetes~., family=binomial,   data=PimaIndiansDiabetes)
+au_glm <- audit(model_glm)
+plotLIFT(au_rf, au_glm)
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion

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Developed by Alicja Gosiewska, Przemyslaw Biecek.

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Site built with pkgdown.

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diff --git a/docs/reference/plotREC-2.png b/docs/reference/plotREC-2.png
index b1fc7f7e..a79ae88b 100644
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diff --git a/docs/reference/plotREC.html b/docs/reference/plotREC.html
index 6c73e03e..41f46b3a 100644
--- a/docs/reference/plotREC.html
+++ b/docs/reference/plotREC.html
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See a
     
Examples

     
library(auditor)
 library(randomForest)
-library(car)
#> Warning: package ‘car’ was built under R version 3.4.3
model_lm <- lm(prestige ~ education + women + income, data = Prestige)
+library(car)
#> Warning: package ‘car’ was built under R version 3.4.3
#> 
+#> Attaching package: ‘car’
#> The following object is masked from ‘package:auditor’:
+#> 
+#>     recode
model_lm <- lm(prestige ~ education + women + income, data = Prestige)
 audit_lm <- audit(model_lm)
 
 plotREC(audit_lm)

diff --git a/docs/reference/plotROC.html b/docs/reference/plotROC.html
index 4de06fac..ed839c62 100644
--- a/docs/reference/plotROC.html
+++ b/docs/reference/plotROC.html
@@ -130,7 +130,8 @@ 
See a
 
     
Examples

     
library(auditor)
-library(mlbench)
#> Warning: package ‘mlbench’ was built under R version 3.4.3
data("PimaIndiansDiabetes")
+library(mlbench)
+data("PimaIndiansDiabetes")
 
 model.glm <- glm(diabetes~., family=binomial,   data=PimaIndiansDiabetes)
 au.glm <- audit(model.glm, label="class glm")
diff --git a/docs/reference/plotRROC-2.png b/docs/reference/plotRROC-2.png
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