tuma is an add-on package for R http://www.r-project.org and provides a
graphical user interface (GUI) to visualize univariate fixed effect (FEM) and
random effects model (REM) meta-analysis. By interactively manipulating
effect sizes and standard errors, it is possible to better understand their
relationship with summary (FEM and REM) and heterogeneity related statistics
(Q, I^2 and tau^2). Additionally, two plots are created which show a typical
forest plot as well as a density plot with N(hat{theta}, tau^2). These plots
also change if the individual effects sizes or standard errors are
manipulated.
The easiest way to install the package is to use the install_github()
function. The install_github() function is provided by the devtools
package.
tuma also makes use of the Bwidget library. To install the Bwidget
library under Windows, go to
http://www.stat.berkeley.edu/users/spector/s133/Bwidget.html and follow the
instructions. Linux users should be able to install the package bwidget via
their package manager (e.g., under Debain/Ubuntu just use sudo apt-get
install bwidget).
If you are on MS Windows, it also seems that you need to have
Rtools installed. So, you first have to install the package devtools (via
install.packages("devtools"), don’t get confused by the message “Rtools
not installed.”) and then run:
library(devtools)install_github("berndweiss/tuma")library(tuma)
Binaries for MS Win (.zip) or Linux (.tar.gz) can be found in /build
The tuma GUI can be started by typing tumaGUI().
Unfortunateley, the package does not work well with RStudio! So, do not call the tuma package from within RStudio.
- fix layout of summary stats
- add save-plot-button
- change color of “effect size squares” to gray
- allow user to plot FEM or REM forest plot; or maybe both…
- button to increase ssample size (e.g. double,
triple sample size)
This work was supported by a fellowship within the “Postdoc-Programme” of the German Academic Exchange Service (DAAD).