The function forest
is generic. It can be used to create forest plots.
forest(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.
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. https://www.jstatsoft.org/v036/i03.