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ggRandomForests (version 1.0.0)

Creating and Plotting Data Objects for Understanding Random Forests

Description

The ggRandomForests package contains tools for creating and plotting data structures to visually understand random forest models. The functions are designed for use with the randomForestSRC package. This package is structured to extract intermediate data objects from the random forest. S3 Plot functions, which use the ggplot2 package, are included for each data object.

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Install

install.packages('ggRandomForests')

Monthly Downloads

19

Version

1.0.0

License

GPL (>= 3)

Issues

21

Pull Requests

0

Stars

151

Forks

32

Maintainer

John Ehrlinger

Last Published

October 15th, 2014

Functions in ggRandomForests (1.0.0)

gg_variable.ggRandomForests

Marginal variable depedance data object.
gg_roc.ggRandomForests

ROC (Recievor operator curve) data from a classification random forest.
veteran_vs

Minimal depth variable selection object (randomForestSRC::var.select).
plot.gg_rfsrc

Predicted response plot from a gg_rfsrc object.
plot.gg_minimal_vimp

Plot a gg_minimal_vimp object for comparing the Minimal Depth and VIMP variable rankings.
iris_vs

randomForestSRC::var.select minimal depth variable selection from the Iris dataset.
print.gg_minimal_depth

Print a gg_minimal_depth object.
plot.gg_error

Plot a gg_error object
plot.gg_partial

Partial variable dependence plot, operates on a gg_partial object.
gg_minimal_vimp.ggRandomForests

Minimal depth vs VIMP camparison by variable ranks.
calc_roc.rfsrc

Internal Reciever Operator Characteristic calculator for randomForest objects
iris_rf

randomForestSRC::rfsrc classification forest for Edgar Anderson's Iris Data
plot.gg_partial_list

Partial variable dependence plot, operates on a gg_partial_list object.
airq_rf

Air quality randomForestSRC object.
pbc_interaction

randomForestSRC::find.interaction matrix for the pbs data.
veteran_rf

randomForestSRC::rfsrc forest for Veteran's Administration Lung Cancer Trial
airq_interaction

minimal depth interaction matrix from randomForestSRC::find.interaction.
gg_rfsrc.ggRandomForests

Predicted response data object
gg_variable.randomForests

Plot the randomForest marginal dependence of variables.
airq_prtl

A randomForestSRC::plot.variable object.
ggRandomForests

ggRandomForests - package for plotting of randomForestSRC objects using the ggplot2 package.
calc_auc

Internal calculator for the Area Under the ROC Curve
plot.gg_variable

Plot a gg_variable object,
plot.gg_interaction

plot.gg_interaction Plot a gg_interaction object,
gg_survival.ggRandomForests

Predicted survival data object from an randomForestSRC::rfsrc survival object.
kaplan

nonparametric kaplan-meier estimates
nelson

nonparametric Nelson-Aalen estimates
plot.gg_roc

ROC plot generic function for a gg_roc object.
extract.RFpred

Get the predicted values from a randomForest classification forest
veteran_prtl

A randomForestSRC::plot.variable object.
plot.gg_vimp

Plot a gg_vimp object, extracted variable importance of a randomForestSRC::rfsrc object
gg_error.ggRandomForests

randomForestSRC error rate data object
eventtable

Nonparametric survival estimates.
iris_interaction

Edgar Anderson's Iris Data
gg_interaction.ggRandomForests

Minimal Depth Variable Interaction data object (randomForestSRC::find.interaction).
gg_partial.ggRandomForests

Partial variable dependence object
iris_prtl

A randomForestSRC::plot.variable object.
gg_minimal_depth.ggRandomForests

Minimal depth data object (randomForestSRC::var.select)
plot.gg_minimal_depth

Plot a gg_minimal_depth object for random forest variable ranking.
mtcars_rf

mtcars randomForestSRC::rfsrc for regression
airq_vs

Minimal depth variable selection object (randomForestSRC::var.select).
plot.gg_survival

Plot a gg_survival or a survival gg_rfsrc object.
gg_vimp.ggRandomForests

Variable Importance (VIMP) data object