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ggRandomForests (version 1.1.2)

Visually Exploring Random Forests

Description

For Random Forests from the randomForestSRC package for survival, regression and classification forests and using the ggplot2 package for plotting results. ggRandomForests is structured to extract data objects from the random forest object and provides S3 functions for printing and plotting these objects.

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Version

Install

install.packages('ggRandomForests')

Monthly Downloads

749

Version

1.1.2

License

GPL (>= 3)

Issues

20

Pull Requests

1

Stars

147

Forks

29

Maintainer

John Ehrlinger

Last Published

December 25th, 2014

Functions in ggRandomForests (1.1.2)

plot.gg_partial

Partial variable dependence plot, operates on a gg_partial object.
nelson

nonparametric Nelson-Aalen estimates
gg_rfsrc.ggRandomForests

Predicted response data object
plot.gg_interaction

plot.gg_interaction Plot a gg_interaction object,
gg_minimal_vimp.ggRandomForests

Minimal depth vs VIMP camparison by variable rankings.
plot.gg_vimp

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

Plot a gg_error object
kaplan

nonparametric kaplan-meier estimates
plot.gg_minimal_depth

Plot a gg_minimal_depth object for random forest variable ranking.
plot.gg_roc

ROC plot generic function for a gg_roc object.
partial_data

Cached randomForestSRC::plot.variable objects for examples, diagnostics and vignettes.
quantile_cuts

Find the cut points of a vector, evenly distributed along the vectors values.
interaction_data

Cached randomForestSRC::find.interaction matrix objects for examples, diagnostics and vignettes.
print.gg_error

Print a gg_error object.
rfsrc_data

Cached randomForestSRC::rfsrc objects for examples, diagnostics and vignettes.
gg_roc.ggRandomForests

ROC (Receiver operator curve) data from a classification random forest.
gg_variable.ggRandomForests

Marginal variable depedance data object.
varsel_data

Cached randomForestSRC::var.select objects for examples, diagnostics and vignettes.
plot.gg_variable

Plot a gg_variable object,
print.gg_rfsrc

Print a gg_rfsrc object.
ggRandomForests-package

ggRandomForests: Visually Exploring Random Forests
gg_survival.ggRandomForests

Nonparametric survival estimates.
surface_matrix

Construct a set of (x, y, z) matrices for surface plotting a gg_partial_coplot object
gg_error.ggRandomForests

randomForestSRC error rate data object
partial_coplot_data

Cached randomForestSRC::plot.variable objects for examples, diagnostics and vignettes.
rebuild_cache_datasets

Recreate the cached data sets for the ggRandomForests package
plot.gg_minimal_vimp

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

Data structures for stratified partial coplots
calc_roc.rfsrc

Reciever Operator Characteristic calculator
print.gg_minimal_depth

Print a gg_minimal_depth object.
plot.gg_partial_list

Partial variable dependence plot, operates on a gg_partial_list object.
gg_minimal_depth.ggRandomForests

Minimal depth data object (randomForestSRC::var.select)
gg_vimp.ggRandomForests

Variable Importance (VIMP) data object
print.gg_interaction

Print a gg_interaction object.
gg_interaction.ggRandomForests

Minimal Depth Variable Interaction data object (randomForestSRC::find.interaction).
plot.gg_survival

Plot a gg_survival object.
combine.gg_partial

combine two gg_partial objects
calc_auc

Area Under the ROC Curve calculator
plot.gg_rfsrc

Predicted response plot from a gg_rfsrc object.
gg_partial

Partial variable dependence object