Creating a Confidence Interval Bar Plot of Proportions

I am trying to create a confidence interval of proportions bar plot. I was able to get the basic plot of proportions. I also was able to achieve the confidence interval values for the observed values which I have attached as an image so my data is shown. I just need the error bars in my bar plot to show so I can indicate the confidence intervals in the bar plot. I want to compare the observed and expected values in my bar plot with None, Heroin, Other Opioid and Heroin+Other Opioid set as my x-axis and set the error bars on my bar plot to indicate the confidence intervals.

It would be easier to help you if you posted your data in a format that is easy to copy/paste. Some help with doing that is here

Here is one way to make your plot.


DF <- data.frame(treatment = c("None", "Heroin", "Other Opioid", "Heroin + Other Opioid"),
                 observed = c(1410, 1235, 1166, 1294),
                 expected = c(1276,1276, 1276,1276),
                 ci_lo = c(1348, 1176, 1108, 1234),
                 ci_hi = c(1474, 1296, 1226, 1356))
DFlong <- gather(DF, key = "Pop", value = "Value", observed:expected)
DFlong <- mutate(DFlong, ci_lo = ifelse(Pop == "observed", ci_lo, NA),
                 ci_hi = ifelse(Pop == "observed", ci_hi, NA))
ggplot(DFlong, aes(x = treatment, y = Value, fill = Pop)) + geom_col(position = "dodge") +
  geom_errorbar(aes(ymin = ci_lo, ymax = ci_hi), position = position_dodge(0.9), width = 0.2)
#> Warning: Removed 4 rows containing missing values (geom_errorbar).

Created on 2020-05-08 by the reprex package (v0.2.1)


Thank you very much. This was very helpful

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