metafor (version 3.8-1)

plot.rma: Plot Method for 'rma' Objects

Description

Plot method for objects of class "rma.uni", "rma.mh", "rma.peto", and "rma.glmm".

Usage

# S3 method for rma.uni
plot(x, qqplot=FALSE, ...)
# S3 method for rma.mh
plot(x, qqplot=FALSE, ...)
# S3 method for rma.peto
plot(x, qqplot=FALSE, ...)
# S3 method for rma.glmm
plot(x, qqplot=FALSE, ...)

Arguments

x

an object of class "rma.uni", "rma.mh", or "rma.peto". The method is not yet implemented for objects of class "rma.glmm".

qqplot

logical to specify whether a normal QQ plot should be drawn (the default is FALSE).

...

other arguments.

Author

Wolfgang Viechtbauer https://www.metafor-project.org

Details

Four plots are produced. If the model does not contain any moderators, then a forest plot, funnel plot, radial plot, and a plot of the standardized residuals is provided. If qqplot=TRUE, the last plot is replaced by a normal QQ plot of the standardized residuals.

If the model contains moderators, then a forest plot, funnel plot, plot of the standardized residuals against the fitted values, and a plot of the standardized residuals is provided. If qqplot=TRUE, the last plot is replaced by a normal QQ plot of the standardized residuals.

References

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

See Also

forest for forest plots, funnel for funnel plots, radial for radial plots, and qqnorm.rma.uni for normal QQ plots.

Examples

### calculate log risk ratios and corresponding sampling variances
dat <- escalc(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg)

### fit random-effects model
res <- rma(yi, vi, data=dat)

### plot results
plot(res, qqplot=TRUE)

### fit mixed-effects model with absolute latitude and publication year as moderators
res <- rma(yi, vi, mods = ~ ablat + year, data=dat)

### plot results
plot(res, qqplot=TRUE)