metaprop(event, n, studlab,
data = NULL, subset = NULL,
freeman.tukey=TRUE,
level = 0.95, level.comb = level,
comb.fixed=TRUE, comb.random=TRUE,
title="", complab="", outclab="",
byvar, bylab, print.byvar=TRUE)event.e).c("metaprop", "meta") with corresponding
print, summary, plot function. The object is a
list containing the following components:"proportion""Inverse" Internally, both fixed effect and random effects models are calculated
regardless of values choosen for arguments comb.fixed and
comb.random. Accordingly, the estimate for the random effects
model can be extracted from component TE.random of an object
of class "meta" even if comb.random=FALSE. However, all
functions in R package meta will adequately consider the values
for comb.fixed and comb.random. E.g. function
print.meta will not print results for the random effects
model if comb.random=FALSE.
Miller JJ (1978), The inverse of the Freeman-Tukey double arcsine transformation. The American Statistician, 32, 138.
metacont, metagen, print.metametaprop(0, 10)
metaprop(0, 10, freeman.tukey=FALSE)Run the code above in your browser using DataLab