apply jittering to outliers data in a boxplot with ggplot2

Question

do you have any idea of how to apply jittering just to the outliers data of a boxplot? This is the code:

ggplot(data = a, aes(x = \"\", y = a$V8)) +
geom_boxplot         


        

Answer 1

Added a vector to your data set to indicate which points are and are not outliers. Then, Set the geom_boxplot to not plot any outliers and use a geom_point to plot the outliers explicity.

I will use the diamonds data set from ggplot2 to illustrate.

library(ggplot2)
library(dplyr)

diamonds2 <-
  diamonds %>%
  group_by(cut) %>%
  mutate(outlier = price > median(price) + IQR(price) * 1.5) %>%
  ungroup

ggplot(diamonds2) +
  aes(x = cut, y = price) +
  geom_boxplot(outlier.shape = NA) +  # NO OUTLIERS
  geom_point(data = function(x) dplyr::filter_(x, ~ outlier), position = 'jitter') # Outliers