Package: metaviz 0.4.0

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'. Provides functions to create forest plots, funnel plots, and many of their variants, including rainforest plots, thick forest plots, additional evidence contour funnel plots, and sunset funnel plots. In addition, functionalities for visual inference with funnel plots in the context of meta-analysis are provided. Further functionalities include plots for comparing fixed-effect and random-effects models and dedicated visualizations for three-level meta-analysis.

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

metaviz_0.4.0.tar.gz
metaviz_0.4.0.zip(r-4.7-any)metaviz_0.4.0.zip(r-4.6-any)metaviz_0.4.0.zip(r-4.5-any)
metaviz_0.4.0.tgz(r-4.6-any)metaviz_0.4.0.tgz(r-4.5-any)
metaviz_0.4.0.tar.gz(r-4.7-any)metaviz_0.4.0.tar.gz(r-4.6-any)
metaviz_0.4.0.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

8.13 score 18 stars 139 scripts 654 downloads 9 mentions 12 exports 145 dependencies

Last updated from:2312fe9391. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK169
source / vignettesOK366
linux-releaseOK197
macos-releaseOK265
macos-oldrelOK209
windows-develOK141
windows-releaseOK122
windows-oldrelOK129
wasm-releaseOK151

Exports:funnelinfrainforestviz_forestviz_funnelviz_rainforestviz_sunsetviz_thickforestviz_tlma_forestviz_tlma_studyinfowineq_baujatwineq_forestwineq_gini

Dependencies:abindaskpassbackportsbeeswarmbitbit64bootbroomcachemcarcarDatacellrangerclassclassIntclicliprclustercolorspacecorrplotcowplotcpp11crayoncurldata.tableDBIDEoptimRDerivDescToolsdigestdiptestdoBydplyre1071ExactexpmfarverfastmapflexmixforcatsforecastFormulafpcfracdifffsgenericsggbeeswarmggnewscaleggpatternggplot2ggpubrggrepelggsciggsignifgldgluegridExtragridpatterngtablehavenhmshttrisobandjsonlitekernlabKernSmoothlabelinglatticelifecyclelme4lmomlmtestmagrittrMASSmathjaxrMatrixMatrixModelsmclustmemoisemetadatmetaformgcvmimeminqamodelrmodeltoolsmomentsmvtnormnlmenloptrnnetnullabornumDerivopensslpbapplypbkrtestpillarpkgconfigpngpolynomprabclusprettyunitsprogressproxypurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreadxlreformulasrematchrlangrobustbaserootSolverstatixrstudioapis2S7scalessfSparseMstringistringrsurvivalsystibbletidyrtidyselecttimeDatetzdbunitsurcautf8vctrsviporviridisLitevroomwithrwkzoo

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