Package: metaviz 0.3.1

metaviz: Forest Plots, Funnel Plots, and Visual Funnel Plot Inference for Meta-Analysis

A compilation of functions to create visually appealing and information-rich plots of 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 in the context of meta-analysis are provided.

Authors:Michael Kossmeier [cre, aut], Ulrich S. Tran [aut], Martin Voracek [aut]

metaviz_0.3.1.tar.gz
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metaviz_0.3.1.tgz(r-4.6-any)metaviz_0.3.1.tgz(r-4.5-any)
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metaviz_0.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
metaviz/json (API)

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

Bug tracker:https://github.com/mkossmeier/metaviz/issues

Datasets:
  • brainvol - Example data for a meta-analysis of correlations: Human brain volume and intelligence
  • exrehab - Example data for a meta-analysis of dichotomous outcomes: Exercise-based cardiac rehabilitation
  • homeopath - Example data for a meta-analysis of standardized mean differences: Homeopathic treatment vs. Placebo
  • mozart - Example data for a meta-analysis of standardized mean differences: Mozart effect

On CRAN:

Conda:

funnel-plotsrainforest-plots

7.44 score 18 stars 170 scripts 552 downloads 9 mentions 7 exports 94 dependencies

Last updated from:e1686fceb3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK152
source / vignettesOK272
linux-release-x86_64OK176
macos-release-arm64OK165
macos-oldrel-arm64OK167
windows-develOK101
windows-releaseOK126
windows-oldrelOK134
wasm-releaseOK165

Exports:funnelinfrainforestviz_forestviz_funnelviz_rainforestviz_sunsetviz_thickforest

Dependencies:abindbackportsbootbroomcarcarDataclasscliclustercolorspacecorrplotcowplotcpp11DEoptimRDerivdigestdiptestdoBydplyrfarverflexmixforecastFormulafpcfracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandkernlablabelinglatticelifecyclelme4lmtestmagrittrMASSmathjaxrMatrixMatrixModelsmclustmetadatmetaformgcvminqamodelrmodeltoolsmomentsnlmenloptrnnetnullabornumDerivpbapplypbkrtestpillarpkgconfigpolynomprabcluspurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrobustbaserstatixS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo

Visualizing meta-analytic data with R package metaviz
Creating forest plots with function viz_forest | Forest plot variants: rainforest plot and thick forest plots | Subgroup analysis | Available forest plots types: Cumulative and leave-one-out analysis. | Aligning tables with study and/or summary information | Transforming the x axis labels | Color highlighting single studies or groups of studies | Creating funnel plots with viz_funnel | Trim-and-fill analysis, Egger's regression | Additional evidence contours | Sunset (power-enhanced) funnel plots | References | Contact
Rendered frommetaviz.Rmdusingknitr::rmarkdown

Last update: 2019-08-05
Started: 2017-02-03

Conducting visual inference with funnel plots using R package metaviz
Conducting visual inference with funnel plots | Funnel plot options | Contours, axis | Trim-and-fill and Egger's regression | Subgroups | References | Contact
Rendered fromfunnelinf.Rmdusingknitr::rmarkdown

Last update: 2019-01-14
Started: 2019-01-09