带有堆叠和分组选项的条形图,没有面网格

时间:2017-11-21 14:04:51

标签: r ggplot2 bar-chart

我正在尝试使用以下数据集制作堆叠和分组的条形图:

dfplot  <- data.frame(organisms=c("M.musculus","D.melanogaster" ,"H.sapiens","O.sativa","S.pombe","C.familiaris",
           "G.gallus","P.falciparum","A.thaliana","C.elegans","D.rerio","B.taurus","S.cerevisiae","R.norvegicus","C.intestinalis","B.subtilis","E.coli"),                  
                      KEGGv2=c(20,7,21,126,106,62,26,80,5,5,13,306,8,35,32,104,107), 
                      KEGGv1=c(286,124,289,0,0,244,135,0,121,124,148,0,101,271,87,0,0),
                      Reactome=c(358,146,596,115,54,306,370,23,155,112,365,341,52,364,0,0,0))

# Melt the dataframe
melted <- melt(dfplot, "organisms")

# Reformat the data labels
melted$cat <- ''
melted[melted$variable == 'Reactome',]$cat <- "Reactome"
melted[melted$variable != 'Reactome',]$cat <- "KEGG"


ggplot(melted, aes(x=cat, y=value, fill=variable)) + 
  geom_bar(stat = 'identity', position = 'stack') +
  facet_grid(~ organisms)+ 
  scale_fill_manual(values=c("deepskyblue4", "lightblue1", "olivedrab2")) +
  labs(y = "Number of Pathways") +
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        legend.title=element_blank(),
        strip.text.x = element_blank(),
        strip.background = element_blank(),
        panel.grid.major = element_blank(),
        panel.grid.minor = element_blank(),
        panel.background = element_blank(),
        axis.line = element_line(colour = "black"))

我的输出如下:

enter image description here

我为每个生物体使用了facet_grid,因为我想在stack(对于KEGGv1和KEGGv2)之间混合,然后将其与另一个组Reactome分组。然而,当进行熔化时,x轴将具有每个facet_grid两个标签(KEGG和Reactome,这是从熔化[cat]获得的变量)。我不想要那个标签,所以我将它们删除了。

我想要做的是每个分组都有生物体名称,因此17个分组条中的每一个都将具有相应生物体的名称**。因此,我错过了,我尝试了几种方法,但我找不到合适的方法。

提前致谢,

2 个答案:

答案 0 :(得分:6)

你可以做两件事来完成这项工作:

  1. 旋转小平面的标签,使其以90度
  2. 绘制
  3. 使用switch = 'x'中的facet_grid参数绘制图表下方的构面标签。
  4. 以下是完整的示例:

      ggplot(melted, aes(x=cat, y=value, fill=variable)) + 
        geom_bar(stat = 'identity', position = 'stack') +
        facet_grid(~organisms, switch = 'x')+ 
        scale_fill_manual(values=c("deepskyblue4", "lightblue1", "olivedrab2")) +
        labs(y = "Number of Pathways") +
        theme(axis.title.x=element_blank(),
              axis.text.x=element_blank(),
              axis.ticks.x=element_blank(),
              legend.title=element_blank(),
              panel.grid.major = element_blank(),
              panel.grid.minor = element_blank(),
              panel.background = element_blank(),
              axis.line.y = element_line(colour = "black"),
              strip.text = element_text(angle = 90))
    

    enter image description here

    我保留了默认的阴影背景,但您可以根据需要轻松设置样式。

    Aproach Two

    您可能需要考虑旋转绘图。这需要您在调用构面之前使用coord_flip 翻转绘图的坐标。当我们面向另一个方向时,我们将facet参数更改为facet_grid(organisms~.)。引用x或y的所有其他参数都被交换:

      ggplot(melted, aes(x=cat, y=value, fill=variable)) + 
        geom_bar(stat = 'identity', position = 'stack') +
        coord_flip() +
        facet_grid(organisms~., switch = 'y')  +
        scale_fill_manual(values=c("deepskyblue4", "lightblue1", "olivedrab2")) +
        labs(y = "Number of Pathways") +
        theme(axis.title.y=element_blank(),
              axis.text.y=element_blank(),
              axis.ticks.y=element_blank(),
              legend.title=element_blank(),
              panel.grid.major = element_blank(),
              panel.grid.minor = element_blank(),
              panel.background = element_blank(),
              axis.line.x = element_line(colour = "black"),
              strip.text.y = element_text(angle = 180))
    

    enter image description here

答案 1 :(得分:1)

首先,您可以将生物体标签设置为低于条形,而不是高于条形。这是通过将 facet_grid 函数的开关参数设置为“ x ”来建立的(请参阅下面的代码)。其次,您应该在主题函数调用中删除 axis.title.x = element_blank()参数。更新后的代码如下。希望这有帮助!

ggplot(melted, aes(x = cat, y = value, fill =variable)) + 
    geom_bar(stat = 'identity', position = 'stack') +facet_grid(~organisms, switch="x")+ 
    scale_fill_manual(values=c("deepskyblue4","lightblue1","olivedrab2"))+
    ylab("Number of pathways")+
    theme(axis.title.x=element_blank(),axis.text.x=element_blank(),axis.ticks.x=element_blank())+theme(legend.title=element_blank())+
    theme(strip.background = element_blank())+theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),panel.background = element_blank(), axis.line = element_line(colour = "black"))