R help - Apr 2009 - plot estimates and their 95% confidence intervals

Hi, there:

I have a dataset with 50 states and for each state, I have its associated mean
estimate (for some parameters) and the lower and upper bound of the 95% CI. The
data look like below:

    state ami_mean  ami_low   ami_up
1      MS -0.58630 -0.90720 -0.29580
2      KY -0.48100 -0.75990 -0.19470
3      FL -0.47900 -0.62930 -0.32130

I would like to have a plot the 95% CI (characterized by the mean, lower, and
upper bound, and the lines linking them) for each state, with x-axis is the
parameter estimate, and y-axis is the state. What kind of plot functions can I
use?

Thanks.

Yulei


	[[alternative HTML version deleted]]

Take a look at ggplot2:

http://had.co.nz/ggplot2/
http://had.co.nz/ggplot2/book/

Particularly:

http://had.co.nz/ggplot2/geom_point.html
http://had.co.nz/ggplot2/geom_errorbar.html
http://had.co.nz/ggplot2/coord_flip.html

ex:

p = ggplot(my_data,aes(x=state,y=ami_mean))
p = p + geom_point()
p = p + geom_errorbar(aes(ymin=ami_low,ymax=ami_up))
p = p + coord_flip()
print(p)

On Mon, Apr 27, 2009 at 6:00 PM, He, Yulei <he at hcp.med.harvard.edu>
wrote:
> Hi, there:
>
> I have a dataset with 50 states and for each state, I have its associated
mean estimate (for some parameters) and the lower and upper bound of the 95% CI.
The data look like below:
>
> ? ?state ami_mean ?ami_low ? ami_up
> 1 ? ? ?MS -0.58630 -0.90720 -0.29580
> 2 ? ? ?KY -0.48100 -0.75990 -0.19470
> 3 ? ? ?FL -0.47900 -0.62930 -0.32130
>
> I would like to have a plot the 95% CI (characterized by the mean, lower,
and upper bound, and the lines linking them) for each state, with x-axis is the
parameter estimate, and y-axis is the state. What kind of plot functions can I
use?
>
> Thanks.
>
> Yulei
>
>
> ? ? ? ?[[alternative HTML version deleted]]
>
> ______________________________________________
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>


-- 
Mike Lawrence
Graduate Student
Department of Psychology
Dalhousie University

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