Many thanks for your reply! the Package ggplot was removed from the CRAN repository. Formerly available versions can be obtained from the archive<http://cran.r-project.org/src/contrib/Archive/ggplot>(Unfortunately, I am a windows user). The metafor and meta.summaries() still need the (a,b,c,d) or standard errors for the effect estimates! I have the following data
rr <- c(0.61, 0.35, 1.16, 0.94, 1.16, 0.46, 0.99, 1.05, 1.15, 0.27) lci <- c(-1.69, -1.27, -0.24, -0.54, -1.01, -1.8,-0.89, -1.38, -1.05,-2.04) uci <- c(0.70, -0.82,0.54,0.41,1.30,0.24,0.87,1.48,1.33,-0.57) rrdata <- data.frame(rr,lci,uci) I can compute standard errors from my data? but the results show different confidence interval? Many thanks in advance, Cheba 2011/4/6 Scott Chamberlain <scttchamberla...@gmail.com> > What about the metafor package? > > > Or just create your own plot. > > For example, using ggplot2 package: > > limits <- aes(ymax = OR + (OR - 95%LCI), ymin = OR - (OR - 95%LCI)) > ggplot(dataframe, aes(x = Study.Name, y = OR)) + geom_point() + > geom_errobar(limits) > > Best, > Scott > > On Wednesday, April 6, 2011 at 11:53 AM, cheba meier wrote: > > Dear all, > > I have a four variable: Stuy.Name, OR, 95%LCI and 95%UCI and I would like > to > create a meta analysis plot. I can't use meta.MH function in metaplot > because I do not have > n.trt, n.ctrl, col.trt, col.ctrl are not available! Is there an alternative > way to do it? > > Many thanks in advance, > Cheba > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > 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 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.
