Visually Exploring Random Forests


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Documentation for package ‘ggRandomForests’ version 2.2.1

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ggRandomForests-package ggRandomForests: Visually Exploring Random Forests
calc_auc Area Under the ROC Curve calculator
calc_auc.gg_roc Area Under the ROC Curve calculator
calc_roc Receiver Operator Characteristic calculator
calc_roc.randomForest Receiver Operator Characteristic calculator
calc_roc.rfsrc Receiver Operator Characteristic calculator
combine.gg_partial combine two gg_partial objects
combine.gg_partial_list combine two gg_partial objects
gg_error randomForest error rate data object
gg_error.randomForest randomForest error rate data object
gg_error.randomForest.formula randomForest error rate data object
gg_error.rfsrc randomForest error rate data object
gg_interaction Minimal Depth Variable Interaction data object ('find.interaction').
gg_interaction.randomForest Minimal Depth Variable Interaction data object ('find.interaction').
gg_interaction.rfsrc Minimal Depth Variable Interaction data object ('find.interaction').
gg_minimal_depth Minimal depth data object ('[randomForestSRC]{var.select}')
gg_minimal_depth.randomForest Minimal depth data object ('[randomForestSRC]{var.select}')
gg_minimal_depth.rfsrc Minimal depth data object ('[randomForestSRC]{var.select}')
gg_minimal_vimp Minimal depth vs VIMP comparison by variable rankings.
gg_minimal_vimp.randomForest Minimal depth vs VIMP comparison by variable rankings.
gg_minimal_vimp.rfsrc Minimal depth vs VIMP comparison by variable rankings.
gg_partial Partial variable dependence object
gg_partial.randomForest Partial variable dependence object
gg_partial.rfsrc Partial variable dependence object
gg_partial_coplot Data structures for stratified partial coplots
gg_partial_coplot.rfsrc Data structures for stratified partial coplots
gg_partial_list Partial variable dependence object
gg_rfsrc Predicted response data object
gg_rfsrc.rfsrc Predicted response data object
gg_roc ROC (Receiver operator curve) data from a classification random forest.
gg_roc.randomForest ROC (Receiver operator curve) data from a classification random forest.
gg_roc.rfsrc ROC (Receiver operator curve) data from a classification random forest.
gg_survival Nonparametric survival estimates.
gg_variable Marginal variable dependence data object.
gg_variable.random Marginal variable dependence data object.
gg_variable.randomForest Marginal variable dependence data object.
gg_variable.rfsrc Marginal variable dependence data object.
gg_vimp Variable Importance (VIMP) data object
gg_vimp.randomForest Variable Importance (VIMP) data object
gg_vimp.randomForest.formula Variable Importance (VIMP) data object
gg_vimp.rfsrc Variable Importance (VIMP) data object
kaplan nonparametric Kaplan-Meier estimates
nelson nonparametric Nelson-Aalen estimates
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.
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
surface_matrix.gg_partial_coplot Construct a set of (x, y, z) matrices for surface plotting a 'gg_partial_coplot' object