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 indicating 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 quite impossible to read due to the small font size. Stretching the plotting device vertically should provide more room.

References

Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1--48. http://www.jstatsoft.org/v36/i03/.

See also

Examples

### meta-analysis of the log risk ratios using a random-effects model res <- rma(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg) plot(res, qqplot=TRUE)
### mixed-effects model with two moderators (absolute latitude and publication year) res <- rma(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, mods = ~ ablat + year, data=dat.bcg) plot(res, qqplot=TRUE)