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Remove endpoints from error bars in ggplot2

My goal is to create boxplots in R (doesn't have to be with ggplot2, but that's what I'm using now) that are as stylistically similar to this example that I found somewhere (minus the text):

boxplot-example

Here's the code I have so far:

dat <- read.table(file = "https://www.dropbox.com/s/b59b03rc8erea5d/dat.txt?dl=1", header = TRUE, sep = " ")
library(ggplot2)
p <- ggplot(dat, aes(x = Subscale, y = Score, fill = Class))
p + stat_boxplot(geom = "errorbar", width = 1.2, size = 2.5, color = "#0077B3") +
  geom_boxplot(outlier.shape = NA, coef = 0, position = position_dodge(.9)) +
  scale_fill_manual(values = c("#66CCFF", "#E6E6E6")) +
  theme(panel.background = element_rect(fill = "white", color = "white"))

Which results in:

my-boxplot

Obviously there are a lot of differences between what I have and what the example shows, but right now I'm only focused on removing the endpoints from the error bars, by which I mean the horizontal top and bottom parts created by the stat_boxplot function. Does anyone know a way I can get the desired effect?

like image 279
Jon Avatar asked Sep 01 '16 14:09

Jon


Video Answer


1 Answers

The width in the errorbar geom controls the width of the horizontal end bars, so set that to 0 to remove the end bars. You are missing the dodging in the stat_boxplot layer, so you can add this in to get the error bars dodged correctly.

ggplot(dat, aes(x = Subscale, y = Score, fill = Class)) +
    stat_boxplot(geom = "errorbar", width = 0, size = 2.5, 
               color = "#0077B3", position = position_dodge(.9)) +
    geom_boxplot(outlier.shape = NA, coef = 0, position = position_dodge(.9)) +
    scale_fill_manual(values = c("#66CCFF", "#E6E6E6")) +
    theme(panel.background = element_rect(fill = "white", color = "white"))

enter image description here

like image 100
aosmith Avatar answered Sep 20 '22 15:09

aosmith