You could also use lattice + Hmisc:
# Fake data (taken from Dennis Murphy's reply):
mortrate <- round(runif(100), 3)
moe = 1.96 * sqrt(mortrate * (1 - mortrate))/10
dd <- data.frame(rate = mortrate, CI.lower = mortrate - moe, CI.upper =
mortrate + moe, hosp = factor(paste('H', 1:100, sep = '')))
# using packages lattice and Hmisc:
require(lattice)
require(Hmisc)
dd$hosp.sort <- reorder(dd$hosp, dd$rate)
Dotplot(hosp.sort ~ Cbind(mortrate, CI.lower, CI.upper), data = dd, abline =
list(v = mean(mortrate), col = "red"))
HTH
Heinrich.
> -----Ursprüngliche Nachricht-----
> Von: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] Im Auftrag von XINLI LI
> Gesendet: Mittwoch, 20. Oktober 2010 02:00
> An: R-help@r-project.org
> Betreff: [R] plot CI and mortality rate
>
>
> Dear R Users:
>
> I have the individual mortality rate and 95% CI of 100
> hospitals,
> how to do the plot with the individual hospital in the
> Yaxis, and the
> mortality rate and 95% CI in the Xais and a overall mean as a
> reference
> line?
>
> Thanks and regards,
>
> Xin
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
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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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