[R] Plotting estimated betas, standard error

[Chuck Cleland]

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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