Visually Exploring Random Forests
Area Under the ROC Curve calculator
Receiver Operator Characteristic calculator
combine two gg_partial objects
randomForest error rate data object
Minimal Depth Variable Interaction data object (find.interaction).
Minimal depth data object ([randomForestSRC]{var.select})
Minimal depth vs VIMP comparison by variable rankings.
Partial variable dependence object
Data structures for stratified partial coplots
Predicted response data object
ROC (Receiver operator curve) data from a classification random forest...
Nonparametric survival estimates.
Marginal variable dependence data object.
Variable Importance (VIMP) data object
ggRandomForests: Visually Exploring Random Forests
nonparametric Kaplan-Meier estimates
nonparametric Nelson-Aalen estimates
Plot a gg_error object
plot.gg_interaction Plot a gg_interaction object,
Plot a gg_minimal_depth object for random forest variable ranking.
Plot a gg_minimal_vimp object for comparing the Minimal Depth and VI...
Partial variable dependence plot, operates on a gg_partialobject.
Partial variable dependence plot, operates on a gg_partial_listobjec...
Predicted response plot from a gg_rfsrc object.
ROC plot generic function for a gg_roc object.
Plot a gg_survival object.
Plot a gg_variable object,
Plot a gg_vimp object, extracted variable importance of a rfsrc ob...
Print a gg_minimal_depth object.
Find points evenly distributed along the vectors values.
lead function to shift by one (or more).
Construct a set of (x, y, z) matrices for surface plotting a `gg_parti...
Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting.
Useful links