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plot estimates and their 95% confidence intervals
2 messages · He, Yulei, Michael 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 Looking to arrange a meeting? Check my public calendar: http://tr.im/mikes_public_calendar ~ Certainty is folly... I think. ~