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extfunnel2

Inspired by the archived extfunnel package by Langan et al. The function creates an extended funnel plot with shaded contours that show the impact of a new study with a certain effect estimate and standard error (or sample size) on the conclusions of an updated meta-analysis. Uses ggplot2 instead of base R, allows specification of the meta-analytic model via the metafor package as well as simulation using sample size per group in addition to the standard error.

Installation

extfunnel2 is not on CRAN. You can install the latest version from GitHub with:

# install.packages("remotes")
remotes::install_github("florianteichert/extfunnel2")

Examples 

library(extfunnel2)
?extfunnel2

How to cite this package in your article

Teichert, F. (2023). extfunnel2: Create Extended Funnel Plots. R package version 0.1.1. https://doi.org/10.5281/zenodo.7922119

Please also cite

Langan, D., Higgins, J. P. T., Gregory, W., & Sutton, A. J. (2012). Graphical augmentations to the funnel plot assess the impact of additional evidence on a meta-analysis. Journal of Clinical Epidemiology, 65(5), 511–519. https://doi.org/10.1016/j.jclinepi.2011.10.009

Acknowledgments

  1. Langan, D., Sutton, A. J., Higgins, J. P. T. & Gregory, W. (2013). extfunnel. R package version 1.3. https://cran.r-project.org/package=extfunnel
  2. Langan, D., Higgins, J. P. T., Gregory, W., & Sutton, A. J. (2012). Graphical augmentations to the funnel plot assess the impact of additional evidence on a meta-analysis. Journal of Clinical Epidemiology, 65(5), 511–519. https://doi.org/10.1016/j.jclinepi.2011.10.009
  3. Ferreira, M. L., Herbert, R. D., Crowther, M. J., Verhagen, A., & Sutton, A. J. (2012). When is a further clinical trial justified? BMJ, 345, e5913. https://doi.org/10.1136/bmj.e5913
  4. Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org
  5. Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1-48. https://doi.org/10.18637/jss.v036.i03