Thank you Marc! I ended up using metafor library:
res_UK <- escalc(mi=data_UK$GAD.7_mean, sdi=data_UK$weight_pred, ni=data_UK$GAD.7_mean_N, measure = "MN”) rma(yi, vi, data=res_UK, method="REML”) > Op 1 jul. 2020, om 17:40 heeft Marc Schwartz <marc_schwa...@me.com> het > volgende geschreven: > > Hi, > > It sounds like you will want to engage in a meta-analysis. > > There is a CRAN task view here: > > https://cran.r-project.org/web/views/MetaAnalysis.html > > that would be relevant in pointing you to tools in R that can support that > approach. > > That being said, the details of specific methodologies and conceptual > assistance would be beyond the scope of this list. You should consider > consulting a local statistician for assistance with that, if needed. > > Regards, > > Marc Schwartz > >> On Jul 1, 2020, at 11:27 AM, Frederik Feys <fref...@gmail.com> wrote: >> >> Hello everyone >> >> I have some studies with results from the same outcome scale. I want to >> merge them into 1 summarised estimated result and its standard deviation. >> How do I do that in R? >> >> Thank you very much for your help! >> Frederik ______________________________________________ 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.
