The forest function can be used to create forest plots.
forest(x, ...)
either an object of class "rma", a vector with the observed effect sizes or outcomes, or an object of class "cumul.rma". See ‘Details’.
other arguments.
Wolfgang Viechtbauer wvb@metafor-project.org https://www.metafor-project.org
Currently, methods exist for three types of situations.
In the first case, object x is a fitted model object coming from the rma.uni, rma.mh, or rma.peto functions. The corresponding method is then forest.rma.
Alternatively, object x can be a vector with observed effect sizes or outcomes. The corresponding method is then forest.default.
Finally, object x can be an object coming from the cumul.rma.uni, cumul.rma.mh, or cumul.rma.peto functions. The corresponding method is then forest.cumul.rma.
Lewis, S., & Clarke, M. (2001). Forest plots: Trying to see the wood and the trees. British Medical Journal, 322(7300), 1479--1480. https://doi.org/10.1136/bmj.322.7300.1479
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.rma, forest.default, and forest.cumul.rma for the specific method functions.