带有误差条的堆积条形图

Question

我想绘制带有误差条的堆积条形图。我有一个包含五个变量的数据框。 Var1包含处理对Var2中三种不同物种的影响。治疗的效果以变量value给出。变量start和end包含误差线的值。我想以Var1和Var2的顺序应该相同的方式绘制堆积条形图。像这样：

这个数字只是一个例子。一些示例数据：

Var1    Var2    value   start   end
Eff1    spe1    0.73    0.72    0.74
Eff2    spe1    0.25    0.24    0.26
Eff3    spe1    0.007   0.006   0.008
Eff1    spe2    0.69    0.68    0.7
Eff2    spe2    0   0   0
Eff3    spe2    0.3 0.29    0.31
Eff1    spe3    0.78    0.77    0.79
Eff2    spe3    0   0   0
Eff3    spe3    0.212   0.2 0.22

表中的值与上图不匹配。谢谢你的建议。

Answer 1

df <- read.table(text="
Var1    Var2    value   ybegin  yend
Eff1    spe1    0.73    0.72    0.74
Eff2    spe1    0.25    0.24    0.26
Eff3    spe1    0.007   0.006   0.008
Eff1    spe2    0.69    0.68    0.7
Eff2    spe2    0   0   0
Eff3    spe2    0.3 0.29    0.31
Eff1    spe3    0.78    0.77    0.79
Eff2    spe3    0   0   0
Eff3    spe3    0.212   0.2 0.22", header = T)
str(df)

df[df$Var1 == "Eff2", "ybegin"] <- df[df$Var1 == "Eff2", "ybegin"] + df[df$Var1 == "Eff1", "value"]
df[df$Var1 == "Eff2", "yend"] <- df[df$Var1 == "Eff2", "yend"] + df[df$Var1 == "Eff1", "value"]
df[df$Var1 == "Eff3", "ybegin"] <- df[df$Var1 == "Eff3", "ybegin"] + df[df$Var1 == "Eff2", "ybegin"]
df[df$Var1 == "Eff3", "yend"] <- df[df$Var1 == "Eff3", "yend"] + df[df$Var1 == "Eff2", "yend"]

library(ggplot2)
dodge <- position_dodge(width = 0.9)
cols <- c("black", "white", "darkgrey") 
limits <- aes(ymax = yend , ymin = ybegin)
ggplot(df, aes(x = Var2, y = value, fill = Var1)) + geom_bar(stat="identity", color = "black") + 
  scale_fill_manual(values = cols) +
  geom_errorbar(limits, colour = "red", width = 1,  position = dodge) + 
  theme_bw() +
  theme(panel.grid.major = element_blank() ,panel.grid.minor = element_blank()) 

Answer 2

在我看来，带有错误栏的堆积条形图不是最佳选择。为了比较一个带有错误栏的躲避条形图的例子：

ggplot(df, aes(x=Var2, y=value, fill=Var1)) + 
  geom_bar(stat="identity", color="black", position=position_dodge(width = 0.9)) + 
  geom_errorbar(aes(ymax=yend, ymin=ybegin), width=0.6, position=position_dodge(width = 0.9)) + 
  theme_bw() +
  theme(panel.grid.major.x = element_blank(), panel.grid.minor = element_blank())

导致：