[R] plot estimates and their 95% confidence intervals

[Mike Lawrence]

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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-- 
Mike Lawrence
Graduate Student
Department of Psychology
Dalhousie University

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~ Certainty is folly... I think. ~