You could use Dotplot() in the Hmisc package. For example:
mydata <- data.frame(BETA = runif(4, min=.50, max=.70), SIM = c("Sim
A",
"Sim B", "Sim C", "Sim D"))
mydata$CIL <- mydata$BETA - runif(4, min=.05, max=.20)
mydata$CIU <- mydata$BETA + runif(4, min=.05, max=.20)
Dotplot(SIM ~ Cbind(BETA, CIL, CIU), data=mydata, ylab="",
xlab="Beta",
main="Betas by Simulation")
hope this helps,
Chuck Cleland
Darla Munroe wrote:> Hello,
>
>
>
> I was wondering, is there a way to plot estimated betas and standard
> deviations that I've generated?
>
>
>
> Specifically, I have the following:
>
>
>
> A matrix of estimated betas (two different betas, 4 different simulations
-
> categories).
>
> A matrix of estimated standard errors corresponding to each of those betas.
>
>
>
> I would like to plot the estimated beta, and make a confidence interval for
> that beta similar to a boxplot, and I would like to plot the four different
> simulations in the same plot.
>
>
>
> I apologize for my ignorance, I am new to R. I just don't see anywhere
to
> specify "whiskers" for your own specified confidence interval.
>
>
>
> Thank you,
>
> DM
>
>
>
>
> [[alternative HTML version deleted]]
>
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--
Chuck Cleland, Ph.D.
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