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,
2011/4/6 Scott Chamberlain <scttchamberlain4_at_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() +
> 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
> 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,
> [[alternative HTML version deleted]]
> R-help_at_r-project.org mailing list
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
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