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 <scttchamberlain4@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
>
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>
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
>

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