在R中使用指定的误差线值制作堆积的线图 [英] Making stacked bar plot with specified error bar values in R

问题描述

我正在尝试在R中制作一个带有误差线的堆叠条形图，以表示我想要预定义而不是计算的值，但是每个条形都有一个不同的值.

I'm trying to make a stacked bar plot in R with error bars for a value that I want to predefine, rather than calculate, but each bar has a different value.

例如，如果我的数据框是:

For example, if my data frame was:

x<-data.frame(
  Period = c("B1","D1a"),
  Sample = c("Glucose","Glucose"),
  Mi = c(2,3),
  M0 = c(4,6)
)

我可以使用以下代码绘制所需的条形图:

I can make the bar plot I need with this code:

mx <- melt(x,  id.vars=1:2)
ggplot(mx, aes(x=Period, y=value, fill=variable), xLabels=NA) +
  geom_bar(stat="identity") +
  facet_grid(~Sample) +
  scale_fill_manual(values = c("grey69","black")) +
  theme_bw() +
  xlab("") + 
  ylab ("")

因此，如果我对每一个的置信区间为B1，Mi = 0.5，B1，M0 = 0.2，D1a，Mi = 0.1，D1a，M0 = 0.2，那么如何为每个误差栏添加误差线

So how do I add an error bar for each one, if my confidence intervals for each one is B1, Mi = 0.5, B1, M0 = 0.2, D1a, Mi = 0.1, D1a, M0 = 0.2

如何在条形图的每个部分上制作误差线?

How can I make error bars on each of the sections of the bar chart?

谢谢

推荐答案

首先，将上下限添加到mx数据框中:

First, add the upper and lower bounds to your mx dataframe:

library(dplyr)
mx <- mx %>% group_by(Period) %>%
  mutate(pos = cumsum(value)) %>%
  ungroup() %>%
  mutate(ci = c(.5, .1, .2, .2),
         upper = pos + ci/2,
         lower = pos - ci/2)

然后，在您的绘图中添加geom_errorbar:

Then, add a geom_errorbar to your plot:

ggplot(mx, aes(x=Period, y=value, fill=variable), xLabels=NA) +
  geom_bar(stat="identity") +
  geom_errorbar(aes(ymin = lower, ymax = upper), width = .2, col = "red") +
  facet_grid(~Sample) +
  scale_fill_manual(values = c("grey69","black")) +
  theme_bw() +
  xlab("") + 
  ylab ("")

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