methods.confint.rma | 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)
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