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ggmeta 0.1.0

First CRAN release.

ggmeta extends ‘ggplot2’ to build publication-quality forest and funnel plots from meta objects or tidy data frames. Every plot is an ordinary ggplot, so it can be themed, composed (for example a forest and a funnel plot side by side with patchwork), and saved like any other.

Forest plots

• ggforest() draws a forest plot from a meta object or a tidy data frame, with study confidence intervals and weight-proportional squares, common- and random-effects summary diamonds, prediction intervals, and null-effect and consensus reference lines.
• columns = TRUE adds a meta::forest()-style table of effect-estimate, 95% CI, and weight columns (or a chosen subset), aligned on both linear and log axes.
• add_summary = TRUE pools a tidy data frame of effect sizes on the fly (inverse-variance common effect and DerSimonian-Laird random effects), so a summary diamond can be drawn without the meta package.
• Journal presets layout_jama(), layout_bmj(), and layout_revman5().

Funnel plots

• ggfunnel() draws a funnel plot (study effect against standard error) with pseudo confidence-interval contours, from a meta object or a tidy data frame. Ratio, proportion, rate, and correlation measures are drawn on their analysis scale but labelled with back-transformed values.

Building blocks and customisation

• Composable geometries: geom_forest_ci(), geom_forest_diamond(), geom_forest_ref(), geom_forest_predict(), geom_forest_text(), and geom_funnel_contour(); helpers tidy_meta(), fortify.meta(), and format_effect(); themes theme_forest() and theme_funnel().
• ggforest() and ggfunnel() take per-element styling arguments (for example predict_args, diamond_colours, ci_args, ref_args, point_args, contour_args) to restyle any built-in layer.
• Every summary measure is back-transformed with its correct inverse (exponentiation for ratios, inverse-logit for logit proportions, Fisher’s z for correlations, and so on).

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.