forest.RdFunction 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.
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.