ggRandomForests: Visually Exploring Random Forests

> library(ggRandomForests)

バージョン: 2.0.1

関数名 概略
cache_rfsrc_datasets Recreate the cached data sets for the ggRandomForests package
calc_auc Area Under the ROC Curve calculator
calc_roc.rfsrc Reciever Operator Characteristic calculator
combine.gg_partial combine two gg_partial objects
ggRandomForests-package ggRandomForests: Visually Exploring Random Forests
gg_error randomForestSRC error rate data object
gg_interaction Minimal Depth Variable Interaction data object ('find.interaction').
gg_minimal_depth Minimal depth data object ('[randomForestSRC]{var.select}')
gg_minimal_vimp Minimal depth vs VIMP camparison by variable rankings.
gg_partial Partial variable dependence object
gg_partial_coplot.rfsrc Data structures for stratified partial coplots
gg_rfsrc.rfsrc Predicted response data object
gg_roc.rfsrc ROC (Receiver operator curve) data from a classification random forest.
gg_survival Nonparametric survival estimates.
gg_variable Marginal variable depedance data object.
gg_vimp Variable Importance (VIMP) data object
interaction_data Cached 'find.interaction' matrix objects for examples, diagnostics and vignettes. Data sets storing 'find.interaction' matrix objects corresponding to training data according to the following naming convention: • 'interaction_iris' - from a randomForestSR[C] for the 'iris' data set. • 'interaction_Boston' - from a randomForestS[R]C for the 'Boston' housing data set ('MASS' package). • 'interaction_pbc' - from a randomForest[S]RC for the 'pbc' data set ('randomForestSRC' package)
kaplan nonparametric kaplan-meier estimates
logit_loess logit_loess takes
nelson nonparametric Nelson-Aalen estimates
partial.rfsrc randomForestSRC partial dependence (data object) (modified from randomForestSRC V1.6.0)
partial_coplot_data Cached 'plot.variable' objects for examples, diagnostics and vignettes. Data sets storing 'rfsrc' objects corresponding to training data according to the following naming convention: • 'partial_coplot_Boston' - randomForestS[R]C for the 'Boston' housing data set ('MASS' package).
partial_data Cached 'plot.variable' objects for examples, diagnostics and vignettes. Data sets storing 'plot.variable' objects corresponding to training data according to the following naming convention: • 'partial_iris' - from a randomForestSR[C] for the 'iris' data set. • 'partial_Boston' - from a randomForestS[R]C for the 'Boston' housing data set ('MASS' package). • 'partial_pbc' - from a randomForest[S]RC for the 'pbc' data set ('randomForestSRC' package)
`partial_surface_data Cached 'plot.variable' objects for examples, diagnostics and vignettes. Data sets storing 'plot.variable' objects corresponding to training data according to the following naming convention: • 'partial_Boston_surf' - from a randomForestS[R]C for the 'Boston' housing data set ('MASS' package). • 'partial_pbc_surf' - from a randomForest[S]RC for the 'pbc' data set ('randomForestSRC' package) • 'partial_pbc_time' - from a randomForest[S]RC for the 'pbc' data set ('randomForestSRC' package)
plot.gg_error Plot a 'gg_error' object
plot.gg_interaction plot.gg_interaction Plot a 'gg_interaction' object, plot.gg_minimal_depth Plot a 'gg_minimal_depth' object for random forest variable ranking.
plot.gg_minimal_vimp Plot a 'gg_minimal_vimp' object for comparing the Minimal Depth and VIMP variable rankings.
plot.gg_partial Partial variable dependence plot, operates on a 'gg_partial' object.
plot.gg_partial_list Partial variable dependence plot, operates on a 'gg_partial_list' object.
plot.gg_rfsrc Predicted response plot from a 'gg_rfsrc' object.
plot.gg_roc ROC plot generic function for a 'gg_roc' object.
plot.gg_survival Plot a 'gg_survival' object.
plot.gg_variable Plot a 'gg_variable' object,
plot.gg_vimp Plot a 'gg_vimp' object, extracted variable importance of a 'rfsrc' object
print.gg_minimal_depth Print a 'gg_minimal_depth' object.
quantile_pts Find points evenly distributed along the vectors values.
rfsrc_data Cached 'rfsrc' objects for examples, diagnostics and vignettes.
shift lead function to shift by one (or more).
surface_matrix Construct a set of (x, y, z) matrices for
surface plotting a 'gg_partial_coplot' object
varsel_data Cached 'var.select' objects for examples, diagnostics and vignettes. Data sets storing 'var.select' objects corresponding to training data according to the following naming convention: • 'varsel_iris' - from a randomForestSR[C] for the 'iris' data set. • 'varsel_Boston' - from a randomForestS[R]C for the 'Boston' housing data set ('MASS' package). • 'varsel_pbc' - from a randomForest[S]RC for the 'pbc' data set ('randomForestSRC' package)