在R中按组绘制散点图

Question

r中是否有任何函数可以绘制这种散点图，从而将点按组分开？

到目前为止，这是我所做的：

hours = c(0.00  ,-1.78  ,-0.50  ,-2.00  ,-2.80  ,2.00   ,-0.16  ,-0.34  ,1.00   ,1.00   ,2.00   ,-1.34  ,-1.00  ,-1.10  ,-0.43  ,-0.49  ,-0.02  ,-0.91,  0.48   ,2.33   ,1.00   ,0.00   ,1.18   ,1.29   ,-1.07  ,-0.26  ,1.96   ,0.36   ,2.00   ,-0.63  ,-0.80  ,-0.70  ,-2.00  ,1.17   ,0.67   ,-3.00)
group = c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2)
df = data.frame(hours,group)

ggplot(df, aes(group, hours)) + geom_point(shape = 16, size = 5, position = position_jitter(w=0.3,h=0.3))

但是结果却很奇怪：

任何帮助都非常感谢！

Answer 1

这是使用汽车数据的方法

library(tidyverse)
library(ggplot2)
data(cars)

cars %>%
  gather(variable, value) %>%
  ggplot()+
  geom_jitter(aes(x = variable, y = value), width = 0.2, height = 0)+
  geom_errorbar(data = cars %>%
            gather(variable, value) %>%
            group_by(variable) %>% 
            summarise(value  = mean(value)), aes(x = variable, ymin= value, ymax = value))+
  geom_hline(aes(yintercept = mean(value)), lty = 2)+
  theme_bw()

带有刚刚发布的数据：

ggplot(df)+
  geom_jitter(aes(x = as.factor(group), y = hours), width = 0.2, height = 0)+
  geom_errorbar(data = df%>%
                  group_by(group) %>% 
                  summarise(hours  = mean(hours)), aes(x = group, ymin= hours, ymax = hours))+
  geom_hline(aes(yintercept = mean(hours)), lty = 2)+
  theme_bw()