See below On 09/12/2015 18:48, Mario Petretta wrote:
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?
There are some fairly extensive examples in the forest.rma documentation. You will also need some patience to get everything exactly where you want it and looking exactly how you want. Graphics are like that.
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)?
You can extract the weights from the fitted object using weights.ram.uni and put them in the data frame yourself. I am a bit worried about your mention of escalc, you do realise that the weights are a function of the fit, not the data?
So weights(res) should be OK here (not tested).
Thanks for your attention ________________________ Mario Petretta Professor of Internal Medicine Department of Translational Medical Science Naples University “Federico II” - Italy _____ <http://www.avast.com/> Questa e-mail è priva di virus e malware perché è attiva la protezione avast! Antivirus <http://www.avast.com/> . Nessun virus nel messaggio. Controllato da AVG - www.avg.com Versione: 2014.0.4259 / Database dei virus: 3705/7093 - Data di rilascio: 14/02/2014 --- Questa e-mail è stata controllata per individuare virus con Avast antivirus. https://www.avast.com/antivirus [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
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