`plot.rma.Rd`

Plot method for objects of class `"rma.uni"`

, `"rma.mh"`

, `"rma.peto"`

, and `"rma.glmm"`

.

- 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.

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.

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.

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

`forest`

for forest plots, `funnel`

for funnel plots, `radial`

for radial plots, and `qqnorm.rma.uni`

for normal QQ plots.

```
### 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)
```