Package: plotROC 2.3.3

plotROC: Generate Useful ROC Curve Charts for Print and Interactive Use

Most ROC curve plots obscure the cutoff values and inhibit interpretation and comparison of multiple curves. This attempts to address those shortcomings by providing plotting and interactive tools. Functions are provided to generate an interactive ROC curve plot for web use, and print versions. A Shiny application implementing the functions is also included.

Authors:Michael C. Sachs [aut, cre], Robert W. Corty [ctb], Luis Crouch [ctb]

plotROC_2.3.3.tar.gz
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plotROC_2.3.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
plotROC/json (API)

# Install 'plotROC' in R:

install.packages('plotROC', repos = c('https://sachsmc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sachsmc/plotroc/issues

Pkgdown/docs site:https://sachsmc.github.io

On CRAN:

11.04 score 88 stars 7 packages 1.3k scripts 3.0k downloads 59 mentions 21 exports 44 dependencies

Last updated from:85ffe4d8e5. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	150
source / vignettes	OK	210
linux-release-x86_64	OK	154
macos-release-arm64	OK	112
macos-oldrel-arm64	OK	104
windows-devel	OK	98
windows-release	OK	82
windows-oldrel	OK	98
wasm-release	OK	129

Exports:calc_auc calculate_multi_roc calculate_roc direct_label export_interactive_roc geom_roc geom_rocci GeomRoc GeomRocci ggroc melt_roc multi_ggroc plot_interactive_roc plot_journal_roc shiny_plotROC stat_roc stat_rocci StatRoc StatRocci style_roc verify_d

Dependencies:base64enc bslib cachem cli commonmark cpp11 digest farver fastmap fontawesome fs ggplot2 glue gridSVG gtable htmltools httpuv isoband jquerylib jsonlite labeling later lifecycle magrittr memoise mime otel plyr promises R6 rappdirs RColorBrewer Rcpp rlang S7 sass scales shiny sourcetools vctrs viridisLite withr XML xtable

Generate ROC Curve Charts for Print and Interactive Use

Rendered fromexamples.Rmdusingknitr::rmarkdown

Last update: 2023-11-21
Started: 2014-11-12

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculate the Area under the ROC curve	calc_auc
Calculate the Empirical ROC curves for multiple biomarkers	calculate_multi_roc
Calculate the Empirical ROC curve	calculate_roc
Add direct labels to a ROC plot	direct_label
Generate svg code for an ROC curve object	export_interactive_roc
Confidence regions for the ROC curve	GeomRocci geom_rocci
Empirical Receiver Operating Characteristic Curve	GeomRoc geom_roc
Reads included JavaScript functions and returns them as a string for pasting into a webpage	getD3
Plot an ROC curve	ggroc
Transform biomarkers stored as wide to long	melt_roc
Plot multiple ROC curves	multi_ggroc
Generate a standalone html document displaying an interactive ROC curve	plot_interactive_roc
Plot an ROC curve for use in print	plot_journal_roc
Tools for plotting ROC Curves	plotROC-package plotROC
Key for ROC geom	roc_key
Start the plotROC Shiny app	shiny_plotROC
Calculate the empirical Receiver Operating Characteristic curve	StatRoc stat_roc
Calculate confidence regions for the empirical ROC curve	StatRocci stat_rocci
Add guides and annotations to a ROC plot	style_roc
Check that D is suitable for using as binary disease status	verify_d