Dear all,
I use metafor package to generate a forest plot showing the weight of each
study in the plot.
I use the code:
library(metafor)
data(dat.bcg)
res <- rma(ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg, measure="RR",
slab=paste(author, year, sep=", "), method="REML")
forest(res, showweights=TRUE)
It is possible to order the columns, placing the weights after effect size and
CI?
A further query: using escalc (or rma), it is possible to add the weight of
each study (other than yi and vi) to the data (in the example: data.bcg)?
Thanks for your attention
________________________
Mario Petretta
Professor of Internal Medicine
Department of Translational Medical Science
Naples University “Federico II” - Italy
_____
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