A compilation of functions to plot meta-analytic data using ‘ggplot2’. Currently allows to create forest plots, funnel plots, and many of their variants, such as rainforest plots, thick forest plots, additional evidence contour funnel plots, and sunset funnel plots. In addition, functionalities for visual inference with the funnel plot are provided.
Includes the wineq plots for the comparison of fixed-effect and random-effects models, specifically the wineq forest plot, wineq Gini plot and wineq Baujat plot, as well as a forest plot variant for three-level meta-analysis.
Questions, ideas, criticism: michael.kossmeier@univie.ac.at.
funnelinf. Also available as shiny app:
https://metaviz.shinyapps.io/funnelinf_app/
viz_forest)viz_funnel.viz_sunset). Also available as shiny app:
https://metaviz.shinyapps.io/sunset/
viz_funnel,
viz_sunset, funnelinf) with y_axis = “se”, which seemed to occur
with newer versions of ggplot2 installed.viz_funnel now allows to customize funnel plot contours for
random effects models via the contours_type argument.viz_forest, viz_funnel and viz_sunset, such
that when output of function rma.uni from package metafor is
used as input, then the method argument is now extracted from the
rma.uni object.wineq_forest, wineq_gini, and
wineq_baujat).viz_tlma_forest for dedicated forest plots for three-level
meta-analysis.viz_tlma_studyinfo for visualizing the distribution of effect
sizes across studies in three-level meta-analysis.funnelinf erroring with n > 1 (including
rorschach = TRUE), where the y-axis values were assigned from the
original per-study standard errors instead of the replicated lineup
data, causing a size-mismatch error.