Package: ggRandomForests 2.2.1

ggRandomForests: Visually Exploring Random Forests

Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting.

Authors:John Ehrlinger <[email protected]>

ggRandomForests_2.2.1.tar.gz
ggRandomForests_2.2.1.zip(r-4.5)ggRandomForests_2.2.1.zip(r-4.4)ggRandomForests_2.2.1.zip(r-4.3)
ggRandomForests_2.2.1.tgz(r-4.4-any)ggRandomForests_2.2.1.tgz(r-4.3-any)
ggRandomForests_2.2.1.tar.gz(r-4.5-noble)ggRandomForests_2.2.1.tar.gz(r-4.4-noble)
ggRandomForests_2.2.1.tgz(r-4.4-emscripten)ggRandomForests_2.2.1.tgz(r-4.3-emscripten)
ggRandomForests.pdf |ggRandomForests.html✨
ggRandomForests/json (API)
NEWS

# Install 'ggRandomForests' in R:
install.packages('ggRandomForests', repos = c('https://ehrlinger.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ehrlinger/ggrandomforests/issues

On CRAN:

8.47 score 146 stars 200 scripts 920 downloads 16 mentions 21 exports 76 dependencies

Last updated 2 years agofrom:e45b733bd0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:calc_auccalc_roccombine.gg_partialgg_errorgg_error.randomForestgg_error.randomForest.formulagg_error.rfsrcgg_interactiongg_minimal_depthgg_minimal_vimpgg_partialgg_partial_coplotgg_rfsrcgg_rocgg_survivalgg_variablegg_vimpkaplannelsonquantile_ptssurface_matrix

Dependencies:base64encbitbit64bslibcachemclicliprcolorspacecpp11crayondata.treeDiagrammeRdigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigprettyunitsprogresspurrrR6randomForestrandomForestSRCrappdirsRColorBrewerreadrrlangrmarkdownrstudioapisassscalesstringistringrsurvivaltibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunyaml

ggRandomForests: Exploring randomForestSRC Regression

John Ehrlinger

Rendered fromggrfRegression.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2022-08-31
Started: 2022-05-09

Readme and manuals

Help Manual

Help pageTopics
ggRandomForests: Visually Exploring Random ForestsggRandomForests-package
Area Under the ROC Curve calculatorcalc_auc calc_auc.gg_roc
Receiver Operator Characteristic calculatorcalc_roc calc_roc.randomForest calc_roc.rfsrc
combine two gg_partial objectscombine.gg_partial combine.gg_partial_list
randomForest error rate data objectgg_error gg_error.randomForest gg_error.randomForest.formula gg_error.rfsrc
Minimal Depth Variable Interaction data object ('find.interaction').gg_interaction gg_interaction.randomForest gg_interaction.rfsrc
Minimal depth data object ('[randomForestSRC]{var.select}')gg_minimal_depth gg_minimal_depth.randomForest gg_minimal_depth.rfsrc
Minimal depth vs VIMP comparison by variable rankings.gg_minimal_vimp gg_minimal_vimp.randomForest gg_minimal_vimp.rfsrc
Partial variable dependence objectgg_partial gg_partial.randomForest gg_partial.rfsrc gg_partial_list
Data structures for stratified partial coplotsgg_partial_coplot gg_partial_coplot.rfsrc
Predicted response data objectgg_rfsrc gg_rfsrc.rfsrc
ROC (Receiver operator curve) data from a classification random forest.gg_roc gg_roc.randomForest gg_roc.rfsrc
Nonparametric survival estimates.gg_survival
Marginal variable dependence data object.gg_variable gg_variable.random gg_variable.randomForest gg_variable.rfsrc
Variable Importance (VIMP) data objectgg_vimp gg_vimp.randomForest gg_vimp.randomForest.formula gg_vimp.rfsrc
nonparametric Kaplan-Meier estimateskaplan
nonparametric Nelson-Aalen estimatesnelson
Plot a 'gg_error' objectplot.gg_error
plot.gg_interaction Plot a 'gg_interaction' object,plot.gg_interaction
Plot a 'gg_minimal_depth' object for random forest variable ranking.plot.gg_minimal_depth
Plot a 'gg_minimal_vimp' object for comparing the Minimal Depth and VIMP variable rankings.plot.gg_minimal_vimp
Partial variable dependence plot, operates on a 'gg_partial' object.plot.gg_partial
Partial variable dependence plot, operates on a 'gg_partial_list' object.plot.gg_partial_list
Predicted response plot from a 'gg_rfsrc' object.plot.gg_rfsrc
ROC plot generic function for a 'gg_roc' object.plot.gg_roc
Plot a 'gg_survival' object.plot.gg_survival
Plot a 'gg_variable' object,plot.gg_variable
Plot a 'gg_vimp' object, extracted variable importance of a 'rfsrc' objectplot.gg_vimp
Print a 'gg_minimal_depth' object.print.gg_minimal_depth
Find points evenly distributed along the vectors values.quantile_pts
lead function to shift by one (or more).shift
Construct a set of (x, y, z) matrices for surface plotting a 'gg_partial_coplot' objectsurface_matrix surface_matrix.gg_partial_coplot