Package: forestly 0.1.5

Yujie Zhao

forestly: Interactive Forest Plot

Interactive forest plot for clinical trial safety analysis using 'metalite', 'reactable', 'plotly', and Analysis Data Model (ADaM) datasets. Includes functionality for adverse event filtering, incidence-based group filtering, hover-over reveals, and search and sort operations. The workflow allows for metadata construction, data preparation, output formatting, and interactive plot generation.

Authors:Yilong Zhang [aut], Benjamin Wang [aut], Yujie Zhao [aut, cre], Nan Xiao [ctb], Hiroaki Fukuda [aut], Yulia Sidi [ctb], Xuan Deng [ctb], Jeetener Chauhan [ctb], Li Ma [ctb], Chen Wang [ctb], Madhusudhan Ginnaram [ctb], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]

forestly_0.1.5.tar.gz
forestly_0.1.5.zip(r-4.7)forestly_0.1.5.zip(r-4.6)forestly_0.1.5.zip(r-4.5)
forestly_0.1.5.tgz(r-4.6-any)forestly_0.1.5.tgz(r-4.5-any)
forestly_0.1.5.tar.gz(r-4.7-any)forestly_0.1.5.tar.gz(r-4.6-any)
forestly_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
forestly/json (API)

# Install 'forestly' in R:

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

Bug tracker:https://github.com/merck/forestly/issues

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

Datasets:

forestly_adae - An adverse event dataset
forestly_adae_3grp - An adverse event dataset
forestly_adsl - A subject level demographic dataset
forestly_adsl_3grp - A subject level demographic dataset

On CRAN:

8.77 score 21 stars 35 scripts 247 downloads 10 exports 67 dependencies

Last updated from:7667766eab. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	264
source / vignettes	OK	285
linux-release-x86_64	OK	251
macos-release-arm64	OK	233
macos-oldrel-arm64	OK	172
windows-devel	OK	253
windows-release	OK	247
windows-oldrel	OK	227
wasm-release	OK	132

Exports:ae_forestly background_panel format_ae_forestly meta_forestly plot_dot plot_errorbar prepare_ae_forestly rtf_static_forestly table_panel theme_panel

Dependencies:base64enc bigD bitops brew bslib cachem cli commonmark cpp11 crosstalk curl digest dplyr evaluate farver fastmap fontawesome fs generics ggplot2 glue gt gtable highr htmltools htmlwidgets isoband jquerylib jsonlite juicyjuice knitr labeling lazyeval lifecycle litedown magrittr markdown memoise metalite metalite.ae mime pillar pkgconfig r2rtf R6 rappdirs RColorBrewer Rcpp reactable reactR rlang rmarkdown S7 sass scales tibble tidyselect tinytex utf8 uuid V8 vctrs viridisLite withr xfun xml2 yaml

Adjusting Column Widths for Optimal Layout

General Use | Step 1: build your metadata | Step 2: adjusting column widths | Multiple, Long Treatment Labels Example | Step 1: build example metadata

Rendered fromcustomize-width.Rmdusingknitr::rmarkdown

Last update: 2026-03-09
Started: 2025-07-10

Add/Hide Columns in the AE-Specific Tables

Step 1: build your metadata | Step 2: customize the AE specific columns

Rendered fromcustomize-ae-specific-columns.Rmdusingknitr::rmarkdown

Last update: 2026-02-10
Started: 2025-07-10

Toggle Risk Difference Columns in the AE-Specific Tables

Step 1: build your metadata | Step 2: toggle risk difference columns

Rendered fromcustomize-toggle-buttons.Rmdusingknitr::rmarkdown

Last update: 2026-02-10
Started: 2026-02-10

Display Only SOC in the AE-Specific Tables

Step 1: build your metadata | Step 2: display only SOC

Rendered fromcustomize-display-only-soc.Rmdusingknitr::rmarkdown

Last update: 2025-10-29
Started: 2025-10-29

Adjusting Decimal Precision in Displayed Data

Step 1: build your metadata | Step 2: customize the decimals

Rendered fromcustomize-digits.Rmdusingknitr::rmarkdown