plotcon: Meta Regression Scatterplot

In MAd: Meta-Analysis with Mean Differences

Meta Regression Scatterplot

Description

Outputs a scatterplot from a fixed or random effects meta regression (continuous and/or categorical).

Usage

plotcon(g, var, mod, data, method= "random", modname=NULL, 
  title=NULL, ...)

Arguments

g	Hedges g (unbiased estimate of d) effect size.
var	Vaiance of g.
mod	Categorical moderator variable used for moderator analysis.
method	Default is random (Restricted-Maximal Likelihood), which is the standard random effects method. For fixed effects, use fixed.
data	data.frame with values above.
modname	Name of moderator to appear on x axis of plot. Default is NULL.
title	Plot title. Default is NULL.
...	Additional arguments to be passed to ggplot.

Value

Scatterplot with fixed or random effects regression line with size of visual points based on study weights, where the more precise studies have larger points. The ggplot2 package outputs the rich graphics.

Author(s)

AC Del Re & William T. Hoyt

Maintainer: AC Del Re [e-mail]

References

Cooper, H., Hedges, L.V., & Valentine, J.C. (2009). The handbook of research synthesis and meta analysis (2nd edition). New York: Russell Sage Foundation.

See Also

mareg, plotcat

Examples

# SAMPLE DATA
MA2 <-read.table(textConnection("
id       es1       var1 n.1 n.2 mod1 mod2
1   1 0.5695938 0.04906967  26  30    a   20
2   2 0.4123667 0.04362541  28  34    b   30
3   3 0.4084333 0.04458363  34  28    a   25
4   4 0.5014756 0.04186354  37  29    b   35
5   5 0.5540745 0.04339382  31  32    b   40
6   1 0.5695938 0.04906967  26  30    a   20
7   2 0.4123667 0.04362541  28  34    b   30
8   3 0.4084333 0.04458363  34  28    a   25
9   4 0.5014756 0.04186354  37  29    b   35
10  5 0.5540745 0.04339382  31  32    b   40"))


# EXAMPLE
plotcon(es1, var1, mod2, data=MA2, method= "fixed", modname="NULL",title="NULL")

MAd documentation built on Aug. 7, 2022, 1:05 a.m.