Means in violin plot not projected properly

[Kingpin]

Hey guys!

I have the following code:

    ggplot(violin_data_1, aes(x=cpod, y=clx, fill=factor(net_type))) + geom_violin() + ylim(0,100) + 
      ylab("Clicks (n)") + xlab("CPOD ID") + labs(fill = "Net Type") + 
      stat_summary(fun = "mean", geom = "crossbar", width = 0.1, colour = "black")

Which ends up as this plot:

I wonder why all means are projected in the middle violin of each CPOD station? I would like to have one crossbar for each violin.

Thanks in advance.

[JackDavison]

I think you need to specify the "position" of your stat_*().

library(tidyverse)

(plt = iris |> 
  pivot_longer(-Species) |> 
  ggplot(aes(x = Species, y = value, color = name)) +
  geom_violin())

  
plt + stat_summary(fun = "mean", geom = "crossbar")

plt + stat_summary(fun = "mean", geom = "crossbar", position = position_dodge2())

^{Created on 2022-01-25 by the reprex package (v2.0.1)}

[Kingpin]

If I add the

position = position_dodge2()

nothing really changes.
Do I need to do the pivot step as well? Maybe you can show me how it has to look with my code?

[nirgrahamuk]

@Kingpin

nothing really changes.

Hello.
Thanks for providing code , but you could take further steps to make it more convenient for other forum users to help you.

Share some representative data that will enable your code to run and show the problematic behaviour.

You might use tools such as the library datapasta, or the base function dput() to share a portion of data in code form, i.e. that can be copied from forum and pasted to R session.

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[Axeman]

Since there's no data, wild guesses only. My guess is that @JackDavison is right, but you might need to supply the width of the dodge, e.g.

stat_summary(fun = "mean", geom = "crossbar", position = position_dodge2(width = 0.9))