forest_viz: Visualization of the Variables of Importance
In TysonStanley/anteo: Anteo (Exploring Data for Prevention)
Description
Visualizes–using ggplot2–the relationship of n important variables
in a random forest with the outcome with a loess curve (if continuous).
You can easily add more ggplot2 functions to the plot to adjust it as
desired. The default theme is this package's 'theme_anteo'.
Usage
1
forest_viz(obj, n = 10, imp_measure = "default")
Arguments
obj
a randomForest object
n
the number of important variables
imp_measure
the variable importance measure
TysonStanley/anteo documentation built on May 9, 2019, 5:18 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Visualizes–using ggplot2–the relationship of n important variables in a random forest with the outcome with a loess curve (if continuous). You can easily add more ggplot2 functions to the plot to adjust it as desired. The default theme is this package's 'theme_anteo'.
Usage
1 | forest_viz(obj, n = 10, imp_measure = "default")
|
Arguments
obj |
a randomForest object |
n |
the number of important variables |
imp_measure |
the variable importance measure |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.