Package: ggmeta 0.1.0

Hercules R. Freitas

ggmeta: Publication-Quality Forest and Funnel Plots with 'ggplot2'

A 'ggplot2' extension that creates publication-quality forest and funnel plots from 'meta' package objects or tidy data frames. Provides custom 'ggproto' geometries for study-level confidence intervals with weight-proportional squares, summary effect diamonds, prediction intervals, null-effect reference lines, and funnel-plot contours. Supports subgroup analysis, back-transformation of summary measures, on-the-fly effect pooling, effect and weight table columns, and journal-specific layout presets (JAMA, BMJ, RevMan5).

Authors:Hercules R. Freitas [aut, cre, cph]

ggmeta_0.1.0.tar.gz
ggmeta_0.1.0.zip(r-4.7-any)
ggmeta_0.1.0.tar.gz(r-4.7-any)ggmeta_0.1.0.tar.gz(r-4.6-any)
ggmeta_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ggmeta/json (API)

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

Bug tracker:https://github.com/drhrf/ggmeta/issues

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

On CRAN:

Conda:

3.18 score 23 exports 17 dependencies

Last updated from:118c0d8909. Checks:5 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK220
source / vignettesOK208
linux-release-x86_64OK173
windows-devel-x86_64OK129
wasm-releaseOK144

Exports:format_effectgeom_forest_cigeom_forest_diamondgeom_forest_predictgeom_forest_refgeom_forest_textgeom_funnel_contourGeomForestCIGeomForestDiamondGeomForestPredictGeomForestRefggforestggfunnellayout_bmjlayout_jamalayout_revman5StatForestCIStatForestDiamondStatForestPredictStatForestReftheme_foresttheme_funneltidy_meta

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr

Coming from meta::forest()
The same object, a ggplot result | What maps to what | Reproducing common tweaks | When to use which
Rendered fromfrom-meta-forest.Rmdusingknitr::rmarkdown

Last update: 2026-07-22
Started: 2026-07-22

Customising forest and funnel plots
The prediction interval | Summary diamonds | Study intervals and reference lines | Everything together | Funnel plots | See also
Rendered fromcustomising.Rmdusingknitr::rmarkdown

Last update: 2026-07-22
Started: 2026-07-22

Getting started with ggmeta
A forest plot from a meta object | Standalone: a tidy data frame | On-the-fly meta-analysis | A meta::forest()-style column table | Custom text columns | Journal styles | Other effect measures | Saving | Where to next
Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-07-22
Started: 2026-07-22

Readme and manuals

Help Manual

Help pageTopics
Format an effect estimate and confidence interval as textformat_effect
Fortify a 'meta' object for use with 'ggplot2'fortify.meta
Study-level confidence intervals and point estimates for forest plotsGeomForestCI geom_forest_ci StatForestCI
Summary effect diamond for forest plotsGeomForestDiamond geom_forest_diamond StatForestDiamond
Prediction interval display for forest plotsGeomForestPredict geom_forest_predict StatForestPredict
Reference line at null effect for forest plotsGeomForestRef geom_forest_ref StatForestRef
Add an aligned text column to a forest plotgeom_forest_text
Pseudo-confidence-interval contours for a funnel plotgeom_funnel_contour
Create a forest plotggforest ggforest.data.frame ggforest.default ggforest.meta
Funnel plot from a meta-analysisggfunnel ggfunnel.data.frame ggfunnel.default ggfunnel.meta
Apply BMJ-style formattinglayout_bmj
Apply JAMA-style formattinglayout_jama
Apply RevMan5-style formattinglayout_revman5
Forest plot themetheme_forest
Funnel plot themetheme_funnel
Tidy a 'meta' object into a plottable data frametidy_meta tidy_meta.data.frame tidy_meta.default tidy_meta.meta