我有一个带有分类x轴的数据框,名为Category,而yaxis是Abundance,由Sequence着色。对于每个类别,我试图通过丰度重新排序堆栈,以便很容易看到哪个序列在底部具有最高比例,在顶部具有最低比例。
目前,我可以制作一个这样的条形图:
s<-"Sequence Abundance Category
CAGTG 0.8 A
CAGTG 0.2 B
CAGTG 0.6 C
CAGTG 0.3 D
CAGTG 0.1 E
GGGAC 0.1 A
GGGAC 0.1 B
GGGAC 0.3 C
GGGAC 0.6 D
GGGAC 0.1 E
CTTGA 0.1 A
CTTGA 0.7 B
CTTGA 0.1 C
CTTGA 0.1 D
CTTGA 0.8 E"
d<-read.delim(textConnection(s),header=T,sep=" ")
g = ggplot(d,aes(x = Category, y = Abundance, fill = Sequence)) +
geom_bar(position = "fill",stat = "identity")
我的数据与此非常相似:Ordering stacks by size in a ggplot2 stacked bar graph
但即使尝试重现此解决方案(按照答案中的步骤),它也不按比例重新排序堆栈:
d$Sequence <- reorder(d$Sequence, d$Abundance)
d$Sequence <- factor(d$Sequence, levels=rev(levels(d$Sequence)))
ggplot(d, aes(x=Category, y=Abundance, fill=Sequence)) +
geom_bar(stat='identity')
我找不到我要找的例子。非常感谢您的帮助!
答案 0 :(得分:3)
使用group
美学来控制堆积条的顺序。
s <- "Sequence Abundance Category
CAGTG 0.8 A
CAGTG 0.2 B
CAGTG 0.6 C
CAGTG 0.3 D
CAGTG 0.1 E
GGGAC 0.1 A
GGGAC 0.1 B
GGGAC 0.3 C
GGGAC 0.6 D
GGGAC 0.1 E
CTTGA 0.1 A
CTTGA 0.7 B
CTTGA 0.1 C
CTTGA 0.1 D
CTTGA 0.8 E"
d <- read.delim(textConnection(s), header=T, sep=" ")
# Add the "group" aesthetic to control the order of the stacked bars
g = ggplot(d,aes(x=Category, y=Abundance, fill=Sequence, group=Abundance)) +
geom_bar(position = "fill",stat = "identity")
g