geom_errorbar 上限为正均值,下限为负均值

geom_errorbar upper for positive mean and lower for negative mean

我想在 geom_bar 绘图上绘制误差线。我知道您可以调整 aes(ymax, ymin) 以仅显示上部或下部条形图。

但是,我有一些负平均值和正平均值,我想分别显示它们的误差线。

这里有一些示例代码和数据可以玩

library(ggplot)    
myData <- aggregate(mtcars$mpg,
                        by = list(cyl = mtcars$cyl, gears = mtcars$gear),
                        FUN = function(x) c(mean = mean(x), sd = sd(x),
                                            n = length(x)))
    myData <- do.call(data.frame, myData)
    myData$se <- myData$x.sd / sqrt(myData$x.n)

colnames(myData) <- c("cyl", "gears", "mean", "sd", "n", "se")
myData$names <- c(paste(myData$cyl, "cyl /",
                        myData$gears, " gear"))

myData$sign <- c(1, -1, 1, 1, -1, 1, -1, 1)

myDataN <- mutate(myData, mean_new = mean*sign, se_new=se+30)
dodge <- position_dodge(width = 0.9)
limits <- aes(
              ymax = myDataN$mean_new + myDataN$se_new,  
              ymin = myDataN$mean_new - myDataN$se_new)
                  #ymax = myDataN$mean_new, #for upper
                  #ymin = myDataN$mean_new) #for lower


p <- ggplot(data = myDataN, aes(x = names, y = mean_new, fill = names))

p + geom_bar(stat = "identity", position = dodge) +
  geom_errorbar(limits, position = dodge, width = 0.25) +
  theme(axis.text.x=element_blank(), axis.ticks.x=element_blank(),
        axis.title.x=element_blank())

谢谢 -深

您可以重新定义限制,使它们以 mean_new 为条件(无论是正数还是负数):

limits <- aes(
  ymax = myDataN$mean_new + (myDataN$mean_new > 0)*myDataN$se_new,  
  ymin = myDataN$mean_new - (myDataN$mean_new < 0)*myDataN$se_new)

根据上面的定义,你得到如下图:

最好去除接触条的胡须。但是,我目前无法弄清楚该怎么做。