Question

我有一个具有不同物种和观测年份的数据集（分为3类）。我现在想用每个物种的年度观测值为每个物种做一个图，并为每个年类别（每个条形图）分配不同的颜色，但是在每个图中它应该是相同的颜色。

我厌倦了做lapply，然后对ggplot做geom_bar（请参见下面的代码）。我知道我可以用geom_bar(fill = c("#e31a1c", "#ff7f00", "#33a02c")来分配颜色，但是问题是，有些物种仅在某些年份才被观察到，所以我得到一个错误，即美学与数据的长度不同。那么还有另一种方法可以为条形分配颜色吗？

Species = c(rep("X", 7), rep("Y", 3), rep("Z", 4), "V", rep("W", 3))
Year = c("A", "A", "A", "B", "B", "C", "C","A", "A", "C","B", "B", "C", "C","A", "A", "B", "C")
df <- data.frame(Species, Year)

mylist = lapply(split(df, as.factor(df$Species)), function(memefin){
  ggplot(memefin, aes(x = Year, fill = Year))+
    geom_bar(fill = c("#e31a1c", "#ff7f00", "#33a02c"))+
    ggtitle(memefin$Species)+
    scale_x_discrete(breaks=c("A","B","C"),labels=c("2000-2004", "2005-2009", "2010-2014"), drop = F)
})

Answer 1

您在正确的轨道上：

mylist = lapply(split(df, as.factor(df$Species)), function(memefin){
 ggplot(memefin, aes(x = Year, fill = Year))+
   geom_bar()+
   ggtitle(memefin$Species)+
   scale_x_discrete(breaks=c("A","B","C"),labels=c("2000-2004", "2005-2009", "2010-2014"), drop = F)+
   scale_fill_manual(values=c("A"="#e31a1c","B"= "#ff7f00","C" ="#33a02c")) # just apply the colours to specific "Years"
})

在不同绘图中的geom_bar中分配颜色

1 个答案: