垂直误差线对齐，堆积条形图ggplot答案

【问题标题】：Vertically error bars allignment, stacked bars plot ggplot垂直误差线对齐，堆积条形图ggplot
【发布时间】：2021-08-10 18:32:25
【问题描述】：

我正在尝试获取一些带有误差线的堆积条形图，但是对应于一组变量的误差线没有对齐。

如果我做一个闪避位置position_dodge（按照我在这里找到的一些其他问题的例子）那么它可以工作，但不幸的是这不是我需要的...... :(

我改变了“position_dodge()”的值，我写过： geom_errorbar(aes(ymin=gp96-sd, ymax=gp96+sd, group= type96), 而且我之前已经定义了 ymin 和 ymax 的值，但没有任何帮助...

谢谢 Vk

这是我为闪避条图尝试的一个

  geom_bar(position = position_dodge(),stat="identity") +
  geom_errorbar(aes(ymin=gp96-sd, ymax=gp96+sd),
                position=position_dodge(), stat="identity",width=0.7,size=0.01)

这是我为堆积条形图尝试的一个

ggplot(data=dfch97,aes(y=gp96,x=sample96,fill=type96))+
  geom_bar(position = position_stack(),stat="identity") +
  geom_errorbar(aes(ymin=gp96-sd, ymax=gp96+sd),
                position=position_dodge(), stat="identity",width=0.7,size=0.01)

我的数据框

type96<- c("co2_96","NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96","NetCH4_96h")
gp96<- c(   13.066667,4.283333,11.783333,3.983333,12.616667,4.4,12.383333,4.3,12.783333,4.566667,12.466667,4.383333,11.533333,4.066667,12.816667,4.533333,12.92,4.56,12.516667,4.25,13.4,4.366667,12.45,4.316667,12.366667,4.233333)
sd<- c(2.1096603, 0.8232051,    1.553598,   0.7386925,  1.2448561,  0.6870226,  2.0311737,  0.8579044,  1.3585532,  0.7033254,  1.5933194,  0.7386925,  2.5303491,  1.1500725,  1.1373947,  0.5715476,  0.9066422,  0.5176872,  0.7026142,  0.3937004,  0.9570789,  0.6345602,  1.3003846,  0.6242329,  1.0875048,  0.3669696)```



dfch97 <- data.frame(type96, gp96, sd)

dfch97$type96=as.factor(dfch97$type96)

【问题讨论】：

无法重现您的示例：x=sample96 ... "sample96" 未定义。

标签： r ggplot2 stacked

【解决方案1】：

您应该将下堆栈的值添加到上堆栈的值

library(ggplot2)

type96<- c("co2_96","NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96",   "NetCH4_96h",   "co2_96","NetCH4_96h")
gp96<- c(   13.066667,4.283333,11.783333,3.983333,12.616667,4.4,12.383333,4.3,12.783333,4.566667,12.466667,4.383333,11.533333,4.066667,12.816667,4.533333,12.92,4.56,12.516667,4.25,13.4,4.366667,12.45,4.316667,12.366667,4.233333)
sd<- c(2.1096603, 0.8232051,    1.553598,   0.7386925,  1.2448561,  0.6870226,  2.0311737,  0.8579044,  1.3585532,  0.7033254,  1.5933194,  0.7386925,  2.5303491,  1.1500725,  1.1373947,  0.5715476,  0.9066422,  0.5176872,  0.7026142,  0.3937004,  0.9570789,  0.6345602,  1.3003846,  0.6242329,  1.0875048,  0.3669696)


dfch97 <- data.frame(type96, gp96, sd)

dfch97$sample96 <- rep(1:13, each = 2)

dfch97$type96=as.factor(dfch97$type96)

for (i in 1:nrow(dfch97)){
  if(dfch97[i, 'type96'] == "co2_96"){
    dfch97[i,'u_conf'] <- dfch97[i,'gp96'] + dfch97[i+1, 'gp96'] + dfch97[i,'sd']
    dfch97[i,'l_conf'] <- dfch97[i,'gp96'] + dfch97[i+1, 'gp96'] - dfch97[i,'sd']
  } else {
    dfch97[i,'u_conf'] <- dfch97[i,'gp96'] + dfch97[i,'sd']
    dfch97[i,'l_conf'] <- dfch97[i,'gp96'] - dfch97[i,'sd']
  } 
}

ggplot(data=dfch97,aes(y=gp96,x=sample96,fill=type96))+
  geom_bar(position = position_stack(),stat="identity") +
  geom_errorbar(aes(ymin=l_conf, ymax=u_conf),
                position=position_dodge(), stat="identity",width=0.7,size=0.01)

【讨论】：