分割蜂群-使用geom_quasirandom方法=笑脸的奇特分布 [英] Split beeswarm - peculiar distribution with geom_quasirandom method = smiley

问题描述

这是该问题的后续措施:

为什么随着样本量的增加会发生这种情况?

解决方案

它与分发点的方法有关.更改此内容:

  p<-ggplot(my_dat，aes(x，y，color = m))+geom_quasirandom(method ='pseudorandom')#而不是'smiley'p<-ggplot_build(p)p $ data [[1]]<-p $ data [[1]]％&％mutate(x = case_when(colour ==#00BFC4"〜面板+ abs(PANEL-x)，正确〜面板-abs(面板-x)))情节(ggplot_gtable(p)) 

This is a follow up on the question: Split beeswarm plot

I ask it as a new question, because my first question was sufficiently answered. But with my real data, there was suddenly a weird behaviour that I don't understand.

With the previous data frame

my_dat <- data.frame(x = 'x', m = rep(c('a','b'),100), y = rnorm(200))

the suggested solution works nice. But when I boost up my data a bit (simply increasing the sample size!), the plot becomes weird:

my_dat <- data.frame(x = 'x', m = letters[1:2], y = sample(0:100, 2000, replace = T), stringsAsFactors = F)

require(ggplot2)
require(ggbeeswarm)
require(dplyr)

p <- ggplot(my_dat, aes(x,y,color=m))+  ## this is copy/paste from @Jimbou's great idea. 
  geom_quasirandom(method = 'smiley')

p <- ggplot_build(p)

p$data[[1]] <-   p$data[[1]] %>%
  mutate(x=case_when(
    colour=="#00BFC4" ~ PANEL + abs(PANEL - x),
    TRUE ~ PANEL - abs(PANEL - x))
  )
plot(ggplot_gtable(p))

Why does this happen with increased sample size??

解决方案

It has to do with the method to distribute the points. Changing this:

p <- ggplot(my_dat, aes(x,y,color=m))+  
  geom_quasirandom(method = 'pseudorandom') #instead of 'smiley'

p <- ggplot_build(p)

p$data[[1]] <-   p$data[[1]] %>%
  mutate(x=case_when(
    colour=="#00BFC4" ~ PANEL + abs(PANEL - x),
    TRUE ~ PANEL - abs(PANEL - x))
  )
plot(ggplot_gtable(p))

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