I would like to find a way for the jitter to stay in its own boxplot, without extending over the neighboring boxplots.

So far, I looked at this answers:

• 

  As you can see, the jitter obeys the Timepoint distribution (T0, T1, T2, T3), but when it comes to the diagnosis(Diagnose), it overlaps with the other boxes.

  Here is an example of how my data looks like:

  structure(list(Time = c("T0", "T0", "T0", "T0", "T0", "T0", "T0", 
  "T0", "T0", "T1", "T1", "T1", "T1", "T1", "T1", "T1", "T1", "T2", 
  "T2", "T2", "T2", "T2", "T2", "T2", "T2", "T2", "T3", "T3", "T3", 
  "T3", "T3", "T3", "T3", "T3", "T3"), Diagnose = c("PDD", "PDD", 
  "PDD", "PD-MCI", "PD-MCI", "PD-MCI", "PD", "PD", "PD", "PD", 
  "PD", "PD-MCI", "PD-MCI", "PD-MCI", "PDD", "PDD", "PDD", "PD", 
  "PD", "PD", "PD-MCI", "PD-MCI", "PD-MCI", "PDD", "PDD", "PDD", 
  "PD", "PD", "PD", "PD-MCI", "PD-MCI", "PD-MCI", "PDD", "PDD", 
  "PDD"), Values = c(13.47, 14.25, 15, 20, 19.57, 15, 15, 17.54, 
  18, 16.93, 11.42, 18, 15, 19.48, 15, 11, 15, 18.03, 11, 15, 17.85, 
  19, 15, 15, 17.85, 20, 15, 19, 14.11, 12, 18.31, 16, 17.36, 20, 
  12)), row.names = c(NA, -35L), class = c("tbl_df", "tbl", "data.frame"
  ))
  

  and this the output when using position = position_jitter() , position=position_jitterdodge(), position_dodge, position_jitterdodge(dodge.width= ) etc ... As you can see, this packs all the jitter in the central boxplots.

  Thanks!

  CodePudding user response：

  Almost! what you are looking for is geom_point(position = position_jitterdodge()). You can also adjust the width with jitter.width

   ggplot(df, mapping= aes(x = Time, y = Values)) 
    geom_boxplot(aes(color = Diagnose), outlier.shape = NA )  
    geom_point(aes(color= Diagnose, shape=Diagnose), alpha = 0.5, 
                   position = position_jitterdodge(jitter.width = 0.1))
  

  

  CodePudding user response：

  Specify the dodge width

  geom_jitter(width = 0.05)

  or geom_point(position = position_jitter(width = 0.05))