The function forest is generic. It can be used to create forest plots.
Usage
forest(x, ...)
Arguments
x
either an object of class "rma", a vector with the observed effect size or outcomes, or an object of class "cumul.rma". See ‘Details’.
...
other arguments.
Details
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 size or outcomes. The corresponding method is then forest.default.
Finally, object x could 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, 1479–1480.
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/.