Split Violin Plot or Beanplot

[Christopher Flach]

I'm trying to do a split Violin Plot or Beanplot. I'd like it to look somewhat similar to the plot on page 6 of the link below with the following changes:

1. Change the dashed line from the mean to a specific number such as 412.
2. Create asymmetric bean plots based on the variable Exchange (variable in code provided). This is similar to what is shown in the picture. I just can’t get it to work when I was modifying my code.
3. When the asymmetric bean plots are created, I’d like a line that goes through the average per market (not separate lines for each market and exchange combination). In the plot on page 6, they seem to have two different lines for each group and singer combination. 

https://cran.r-project.org/web/packages/beanplot/vignettes/beanplot.pdf

Code:

Market <- c('SG', 'SG', 'SG', 'SG', 'SG', 'SG', 'SG', 'SG', 'Ind', 'Ind', 'Ind', 'Ind','Ind', 'Ind', 'Ind', 'Ind')

Prem <- c(400, 405, 433, 450, 420, 422, 415, 444, 351, 363, 387, 371, 350, 360, 375, 388)

Exchange <- c('On','On','On', 'On', 'On','On','On', 'On', 'Off', 'On', 'Off', 'On', 'Off', 'On', 'Off', 'On')

df <- data.frame(Market, Prem, Exchange)

attach(df)

data <- split(Prem, Market)

library(ggplot2)

library(vioplot)

library(beanplot)

names(data)[1] <- 'x'

do.call("vioplot", c(data, list(names = levels(Market), col = "white")))

par(mfrow = c(1,1))

par(lend=1)

beanplot(Prem~Market, data = df, col = list("black", c("grey", "white")))

I know 'side' in the beanplot function creates an asymmetric beanplot, but I'd like to keep the Markets separate and have them split by the variable exchange.

[Wouter van der Bijl]

Hi,

You are emailing the ggplot2 help list. Your question is not about ggplot2.

W.

[Christopher Flach]

Perhaps someone has a solution using ggplot...

[John Dougherty]

On Thu, 16 Feb 2017 12:21:28 -0800 (PST)
Christopher Flach <flach...@gmail.com> wrote:

You might want to check into the geometries offered in ggplot2. I am
unfamiliar with "bean plots" but violin plots are possible in ggplot2.
You can get a very thorough introduction into the 'hows' in R Graphics
Cookbook by Chang. You will need to call "geom_violin()"

--

JWDougherty

[Christopher Flach]

Ok, thanks!

Sent from my iPhone

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