methods.confint.rma {metafor} | R Documentation |
Methods for objects of class "confint.rma"
and "list.confint.rma"
.
## S3 method for class 'confint.rma' as.data.frame(x, ...) ## S3 method for class 'list.confint.rma' as.data.frame(x, ...)
x |
an object of class |
... |
other arguments. |
Wolfgang Viechtbauer wvb@metafor-project.org https://www.metafor-project.org
Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48. https://doi.org/10.18637/jss.v036.i03
### copy data into 'dat' dat <- dat.bcg ### calculate log risk ratios and corresponding sampling variances dat <- escalc(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat) ### fit random-effects model res <- rma(yi, vi, data=dat) ### get 95% CI for tau^2, tau, I^2, and H^2 sav <- confint(res) sav ### turn object into a regular data frame as.data.frame(sav) ############################################################################ ### copy data into 'dat' dat <- dat.berkey1998 ### construct block diagonal var-cov matrix of the observed outcomes based on variables v1i and v2i V <- vcalc(vi=1, cluster=author, rvars=c(v1i, v2i), data=dat) ### fit multivariate model res <- rma.mv(yi, V, mods = ~ outcome - 1, random = ~ outcome | trial, struct="UN", data=dat) ### get 95% CI for variance components and correlation sav <- confint(res) sav ### turn object into a regular data frame as.data.frame(sav)