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How can I make outliers geom_boxplot “linear” with trembling geotags?

How can I make outliers geom_boxplot completely overlaid on jittered geom_points?

For example, do I want outliers from geom_boxplot to appear as a “crosshair” at their actual points from geom_point after jitter?

library(ggplot2)
p <- ggplot(mtcars, aes(factor(cyl), mpg)) + 
  geom_boxplot(outlier.shape=10, outlier.size=8)  +
  geom_point(aes(factor(cyl), mpg, color=mpg),  position="jitter", size=4)
p

plot

Any help would be greatly appreciated.

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2 answers

This solution will be quite long. The problem is that when position="jitter"you cannot get the exact coordinates for the points, so you need to find a workaround.

, ggplot_build(). . group outliers, , ggplot . .

p <- ggplot(mtcars, aes(factor(cyl), mpg)) + 
                geom_boxplot(outlier.shape=10, outlier.size=8)  +
                geom_point(aes(color=mpg),  position="jitter", size=4)
gg<-ggplot_build(p)
gg$data[[1]]
  ymin lower middle upper ymax         outliers notchupper notchlower x PANEL group weight ymin_final
1 21.4 22.80   26.0 30.40 33.9                    29.62055   22.37945 1     1     1      1       21.4
2 17.8 18.65   19.7 21.00 21.4                    21.10338   18.29662 2     1     2      1       17.8
3 13.3 14.40   15.2 16.25 18.7 10.4, 10.4, 19.2   15.98120   14.41880 3     1     3      1       10.4
  ymax_final  xmin  xmax
1       33.9 0.625 1.375
2       21.4 1.625 2.375
3       19.2 2.625 3.375

xx<-gg$data[[1]][c("group","outliers")]
xx
  group         outliers
1     1                 
2     2                 
3     3 10.4, 10.4, 19.2

group 4,6 8, , cyl.

xx$group<-c(4,6,8)

mtcars . , , mpg outliers cyl. (TRUE FALSE) out.

mtcars.new<-merge(mtcars,xx,by.x="cyl",by.y="group")
mtcars.new$out<-apply(mtcars.new,1,function(x) x$mpg %in% x$outliers)

. geom_boxplot(). out, . scale_shape_manual() scale_size_manual() .

ggplot(mtcars.new, aes(factor(cyl), mpg)) + 
          geom_boxplot(outlier.shape = NA)  +
          geom_point(aes(color=mpg,shape=out,size=out),  position="jitter")+
          scale_shape_manual(values=c(16,10),guide="none")+
          scale_size_manual(values=c(4,8),guide="none")

enter image description here

+4

Didzis , , , , . , , ( ), , outlier ggplot. , , :

id_outliers <- function(x){
    q <- quantile(x,c(0.25,0.75))
    iqr <- abs(diff(q))
    ifelse((x < q[1] - 1.5*iqr) | (x > q[2] + 1.5*iqr),'Outlier','NotOutlier')
}

mtcars <- ddply(mtcars,
                .(cyl),
                transform,
                out = id_outliers(mpg))

p <- ggplot(mtcars, aes(factor(cyl), mpg)) + 
  geom_boxplot(outlier.colour = NA)  + 
  geom_point(aes(colour = mpg,shape = out),position = "jitter")
+5

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