Meta-Analysis with Correlations (MAc) Rcmdr Plug-in

This is an R-Commander plug-in for the MAc package
(Meta-Analysis with Correlations). This package enables the
user to conduct a meta-analysis in a menu-driven, graphical
user interface environment (e.g., SPSS), while having the full
statistical capabilities of R and the MAc package. The MAc
package itself contains a variety of useful functions for
conducting a research synthesis with correlational data. One of
the unique features of the MAc package is in its integration of
user-friendly functions to complete the majority of statistical
steps involved in a meta-analysis with correlations. It uses
recommended procedures as described in The Handbook of Research
Synthesis and Meta-Analysis (Cooper, Hedges, & Valentine,
2009).

Meta-Analysis with Mean Differences (MAd) Rcmdr Plug-in
This is an R-Commander plug-in for the MAc package
(Meta-Analysis with Correlations). This package enables the
user to conduct a meta-analysis in a menu-driven, graphical
user interface environment (e.g., SPSS), while having the full
statistical capabilities of R and the MAd package. The MAd
package itself contains a variety of useful functions for
conducting a research synthesis with mean differences data. One
of the unique features of the MAd package is in its integration
of user-friendly functions to complete many of the statistical
steps involved in a meta-analysis with mean differences. It
uses recommended procedures as described in The Handbook of
Research Synthesis and Meta-Analysis (Cooper, Hedges, &
Valentine, 2009).
R (>= 2.10.1), Rcmdr, MAd, plyr, ggplot2

This is an R-Commander plug-in for the MAd package
(Meta-Analysis with Mean Differences). This package enables the
user to conduct a meta-analysis in a menu-driven, graphical
user interface environment (e.g., SPSS), while having the full
statistical capabilities of R and the MAd package. The MAd
package itself contains a variety of useful functions for
conducting a research synthesis with mean differences data. One
of the unique features of the MAd package is in its integration
of user-friendly functions to complete many of the statistical
steps involved in a meta-analysis with mean differences. It
uses recommended procedures as described in The Handbook of
Research Synthesis and Meta-Analysis (Cooper, Hedges, &
Valentine, 2009).