I am trying to get rid of outliers in my graph that contains a boxplot and a beeswarm.
I create the boxplot with the following code:
boxplot(Lead_s ~ Group, data = g, outline = FALSE, 
    main = 'Gaze shift duration with co-occuring movement units',
    horizontal=TRUE,xlab = "Gaze lead (sec)")
With the outline=FALSE my outliers disappear.
Then, I run this code to get my data points in form of the bee swarm.
beeswarm(Lead_s ~ Group, data = g, col = 4, pch = 16, 
    add = TRUE,horizontal=TRUE,pwcol = 1 + as.numeric(Lead_s))
The boxplot with the bee swarm:

What happens is that the outliers are plotted outside of the graph. Whether I add outline=FALSE or not, the outliers are still there.
This is the data sample I plotted:
Group           Lead_s
Non-Performers  1
Non-Performers  3
Expert  18
Non-Performers  0.1
Non-Performers  0.1
Non-Performers  0.1
Non-Performers  0.2
Non-Performers  0.2
Non-Performers  0.3
Expert  0.4
Non-Performers  0.4
Non-Performers  0.4
Expert  0.5
Non-Performers  0.5
Non-Performers  0.6
Non-Performers  0.6
Non-Performers  0.7
Expert  0.8
Non-Performers  0.8
Expert  1.1
Expert  1.1
Non-Performers  1.1
Expert  1.3
Non-Performers  1.3
Non-Performers  1.4
Non-Performers  1.4
Non-Performers  1.4
Non-Performers  1.5
Expert  1.7
Expert  1.9
Non-Performers  1.9
Expert  2.1
Non-Performers  2.1
Non-Performers  2.1
Non-Performers  2.1
Non-Performers  2.3
Expert  2.5
Expert  2.7
Expert  2.7
Non-Performers  3.1
Expert  4.1
Expert  4.5
Non-Performers  5.6
Non-Performers  6.7
Any ideas how can I fix it?
 
     
    