Thank you for your reaction, it worked. However, I'm wondering if this is the right way to test whether there is significant variation on one of the two levels. The results of the anova tests do not correspond to the results of the Z-test in metaSEM. (In metaSEM only one of the variances is significant, but when I use the anova test in metafor, both variances are significant). But maybe I made a mistake. This is my syntax: model2 <- rma.mv(y, v, random = list(~ 1 | y, ~ 1 | ID), data=dat) model3 <- rma.mv(y, v, random = list(~ 1 | y, ~ 1 | ID), sigma2=c(NA,0), data=dat) model4 <- rma.mv(y, v, random = list(~ 1 | y, ~ 1 | ID), sigma2=c(0,NA), data=dat) anova(model2,model3) anova(model2,model4)
Is it possible to receive the standard errors of the variances in metafor (and do a Z-test)? > To: wibbelt...@hotmail.com; r-help@r-project.org > Subject: Re: [R] Metafor - rma.mv function - variance components > From: li...@dewey.myzen.co.uk > Date: Mon, 20 Apr 2015 20:24:48 +0000 > > Carlijn Wibbelink <wibbelt...@hotmail.com> wrote : > > Dear Carlijn > I think that if you set sigma2 to a vector of length 2 it will be possible. > > > Hi all, > > > > I have a question about metafor and the rma.mv function. I have fitted a > > multivariate model (effect sizes are nested within studies) and I've found > > two > > variances: > > > > Variance Components: > > estim sqrt nlvls fixed factor > > sigma^2.1 0.0257 0.1602 72 no y > > sigma^2.2 0.0694 0.2635 10 no ID > > > > I want to test whether there is significant variantion between the effect > > sizes > > within studies (sigma^2.1: 0.0257) and/or between studies (sigma^2.2: > > 0.0694). > > In metaSEM you can fix for example the variance within studies (sigma^2.1) > > to > > zero to test whether there is a significant difference in fit between the > > models > > (and if so, then there is significant heterogeneity between the effect sizes > > within studies). I was wondering if this is also possible in metafor. If I > > fix > > sigma2 to zero, then both variances are fixed to zero. However, I want to > > fix > > only one variance to zero. > > I hope that someone can help me. Thank you in advance! > > > > [[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. > > > > > [[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.
