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

# 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.

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.

Note

If the number of studies is large, the forest plot may become difficult to read due to the small font size. Stretching the plotting device vertically should provide more space.

Author

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

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

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)