cforest_viz: Visualization of the Variables of Importance for cforest
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
cforest_viz(obj, data, outcome, n = 10)
Arguments
obj
a randomForest object
data
the data.frame object from which the randomForest object was made
outcome
the name of the outcome variable in quotes (e.g., "bmi")
n
the number of important variables
TysonStanley/anteo documentation built on May 9, 2019, 5:18 p.m.
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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 | cforest_viz(obj, data, outcome, n = 10)
|
Arguments
obj |
a randomForest object |
data |
the data.frame object from which the randomForest object was made |
outcome |
the name of the outcome variable in quotes (e.g., "bmi") |
n |
the number of important variables |
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.
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