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ggRandomForests (version 1.1.1)

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

749

Version

1.1.1

License

GPL (>= 3)

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Repository

https://github.com/ehrlinger/ggRandomForests

Maintainer

John Ehrlinger

Last Published

December 12th, 2014

Functions in ggRandomForests (1.1.1)

gg_vimp.ggRandomForests

Variable Importance (VIMP) data object

gg_rfsrc.ggRandomForests

Predicted response data object

pbc_prtl_bili_albumin

Partial coplot data

Plot a gg_error object

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

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

plot.gg_interaction

plot.gg_interaction Plot a gg_interaction object,

gg_roc.ggRandomForests

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

plot.gg_survival

Plot a gg_survival object.

print.gg_interaction

Print a gg_interaction object.

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

nonparametric kaplan-meier estimates

pbc_interaction

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

plot.gg_partial

Partial variable dependence plot, operates on a gg_partial object.

A list of three randomForestSRC::plot.variable objects for the pbc data.

gg_variable.randomForests

Plot the randomForest marginal dependence of variables.

A randomForestSRC::plot.variable object.

pbc_prtl_bili_prothrombin

Partial coplot data

Print a gg_error object.

A randomForestSRC::plot.variable object.

airq_interaction

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

gg_partial.ggRandomForests

Partial variable dependence object

mtcars_interaction

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

pbc_prtl_bili_age

Partial coplot data

Air quality randomForestSRC object.

plot.gg_variable

Plot a gg_variable object,

gg_survival.ggRandomForests

Nonparametric survival estimates.

gg_minimal_depth.ggRandomForests

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

gg_error.ggRandomForests

randomForestSRC error rate data object

gg_variable.ggRandomForests

Marginal variable depedance data object.

plot.gg_minimal_vimp

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

ggRandomForests-package

Creating and Plotting Data Objects for Understanding Random Forests

A randomForestSRC::plot.variable object.

randomForestSRC::var.select Object for the pbc data.

veteran_interaction

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

combine two gg_partial objects

plot.gg_minimal_depth

Plot a gg_minimal_depth object for random forest variable ranking.

randomForestSRC::rfsrc Object for the pbc data.

nonparametric Nelson-Aalen estimates

iris_interaction

Edgar Anderson's Iris Data

plot.gg_partial_list

Partial variable dependence plot, operates on a gg_partial_list object.

ROC plot generic function for a gg_roc object.

A gg_partial object for the pbc data, combined from 1 and 3 year plot.variable for pbc data.

print.gg_minimal_depth

Print a gg_minimal_depth object.

gg_interaction.ggRandomForests

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

Print a gg_rfsrc object.

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

gg_minimal_vimp.ggRandomForests

Minimal depth vs VIMP camparison by variable ranks.

Internal Reciever Operator Characteristic calculator for randomForest objects

Get the predicted values from a randomForest classification forest

Internal calculator for the Area Under the ROC Curve

mtcars randomForestSRC::rfsrc for regression

rebuild_cache_datasets

Recreate the cached data sets for the ggRandomForests package

A randomForestSRC::plot.variable object.

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

Predicted response plot from a gg_rfsrc object.

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

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