让我们说我们观察了两种甲虫。我们想使用geom_violin()比较它们的大小,如下所示:
df = data.frame(species=rep(c('species_a','species_b'),3), size=c(1,1.5,1.2,1.8,1.1,1.9))
ggplot(df, aes(x=species, y=size)) + geom_violin()
了解物种的预期大小范围是[0.8,1.8],物种的预期大小范围是[1.2,1.8] ...
ranges = list(species_a=c(0.8,1.8), species_b=c(1.2,1.8))
如何在图表上轻松添加此范围(例如灰色形状)?
答案 0 :(得分:4)
将范围放在具有物种名称和最小/最大值的单独数据框中
ranges = data.frame(species=c('species_a','species_b'),
rmin=c(0.8,1.2),rmax=c(1.2,1.8))
ranges
species rmin rmax
1 species_a 0.8 1.8
2 species_b 1.2 1.8
然后使用geom_rect()
的新数据框来制作位于geom_violin()
下方的区域。 geom_blank()
用于根据原始数据帧生成x轴。
ggplot(df, aes(x=species, y=size)) + geom_blank() +
geom_rect(data=ranges,aes(xmin=as.numeric(species)-0.45,
xmax=as.numeric(species)+0.45,
ymin=rmin,ymax=rmax),inherit.aes=FALSE)+
geom_violin()
答案 1 :(得分:0)
你可以试试这个:
# first, create data frame from list 'ranges'
df2 <- setNames(object = do.call(rbind.data.frame, ranges), nm = c("min_size", "max_size"))
df2$species <- rownames(df2)
# plot violins with 'df', and ranges with 'df2'.
# Set colour and size according to your own "data-ink ratio" preferences.
ggplot(data = df, aes(x = species)) +
geom_violin(aes(y = size)) +
geom_linerange(data = df2, aes(ymax = max_size, ymin = min_size), colour = "grey", size = 3)