# [R] Plotting confidence intervals

phii m@iii@g oii phiiipsmith@c@ phii m@iii@g oii phiiipsmith@c@
Sun Dec 8 10:17:54 CET 2019

```Thanks for these helpful suggestions.

These options don't work in my case because I don't know the individual
observations (the dots). A statistical agency collects the observations
and keeps them confidential. It provides the mean value and the standard
deviation, plus the fact that the observations are normally distributed.
So I have enough information to draw the distribution function.  Mean
values and standard deviations are provided for several cases
(geographies). I can plot the mean values for all cases in a bar chart.
I can show the confidence intervals as I-beams, as in my example. But I
would prefer to show the confidence intervals as truncated bell curves,
referring to, say, 95% of the unseen observations.

Philip

On 2019-12-07 22:07, Ben Tupper wrote:
> Hi,
>
> Would something like yarrr do the trick?
> https://ndphillips.github.io/yarrr.html
>
> Or gghalves?  https://github.com/erocoar/gghalves
>
> Cheers,
> Ben
>
> On Sat, Dec 7, 2019 at 9:32 PM <phil using philipsmith.ca> wrote:
>
>> I want to show little bell curves on my bar chart to illustrate the
>> confidence ranges. The following example from Paul Teetor's "R
>> Cookbook"
>> does what I want, but shows I-beams instead of bell curves. The
>> I-beams
>> suggest uniform, rather than normal distributions. So I am looking
>> for a
>> way to plot normal distribution curves instead.
>>
>> # Example from Paul Teetor, "R Cookbook", page 238.
>> library(gplots)
>> attach(airquality)
>> heights <- tapply(Temp,Month,mean)
>> lower <- tapply(Temp,Month,function(v) t.test(v)\$conf.int [1][1])
>> upper <- tapply(Temp,Month,function(v) t.test(v)\$conf.int [1][2])
>> barplot2(heights,plot.ci [2]=TRUE,ci.l=lower,ci.u=upper,
>> ylim=c(50,90),xpd=FALSE,
>> main="Mean Temp. By Month",
>> names.arg=c("May","Jun","Jul","Aug","Sep"),
>> ylab="Temp (deg. F)")
>>
>> Does anyone know a package that does this or, alternatively, can
>> anyone
>> suggest a direction to go in if one were to write R code to do this?
>>
>> Philip
>>
>> ______________________________________________
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>> and provide commented, minimal, self-contained, reproducible code.
>
> --
>
> Ben Tupper
> Bigelow Laboratory for Ocean Science
> West Boothbay Harbor, Maine
> http://www.bigelow.org/
>
> https://eco.bigelow.org
>
>
>