在 R ggplot2 中按图例颜色为 facet 中的文本着色

Question

我有一个示例数据框：

dput(数据)

structure(list(DAF = c(0.00704225, 0.00352113, 0.00352113, 0.028169, 
0.00352113, 0.00704225, 0.0105634, 0.00352113, 0.0105634, 0.00352113, 
0.00352113, 0.00352113, 0.0176056, 0.0140845, 0.00352113, 0.0140845, 
0.00352113, 0.0105634, 0.00352113, 0.00352113, 0.0140845, 0.00352113, 
0.084507, 0.00352113, 0.0669014, 0.00704225, 0.00352113, 0.00352113, 
0.00704225, 0.00352113, 0.00704225, 0.00352113, 0.00352113, 0.028169, 
0.00352113, 0.00704225, 0.0105634, 0.00352113, 0.0105634, 0.00352113, 
0.00352113, 0.00352113, 0.0176056, 0.0140845, 0.00352113, 0.0140845, 
0.00352113, 0.0105634, 0.00352113, 0.00352113, 0.0140845, 0.00352113, 
0.084507, 0.00352113, 0.0669014, 0.00704225, 0.00352113, 0.00352113, 
0.00704225, 0.00352113), TYPE = structure(c(2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("All SVs", "bDEL"), class = "factor"), 
Function = structure(c(2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
2L, 2L, 2L, 2L, 2L, 1L), .Label = c("Genic", "Intergenic"
), class = "factor")), .Names = c("DAF", "TYPE", "Function"
), class = "data.frame", row.names = c(NA, -60L))

我已经使用

绘制了

p1<-ggplot(sv,aes(x=DAF,y=..density..,fill=Function))+geom_histogram(position="dodge",binwidth=0.02)+facet_wrap( ~ TYPE, scales = "free",ncol=2)

来自数据框的注释文本：

> dput(dat)
structure(list(x = c(0.05, 0.05, 0.05, 0.05, 0.05, 0.05), y = c(20L, 
17L, 14L, 35L, 30L, 25L), labs = structure(c(3L, 4L, 6L, 1L, 
2L, 5L), .Label = c("mean=0.0173", "mean=0.0190", "mean=0.0415", 
"mean=0.0440", "p=0.0393", "p=1.47e-08"), class = "factor"), 
    TYPE = structure(c(1L, 1L, 1L, 2L, 2L, 2L), .Label = c("All SVs", 
    "bDEL"), class = "factor")), .Names = c("x", "y", "labs", 
"TYPE"), class = "data.frame", row.names = c(NA, -6L))


p2<-p1+geom_text(aes(x, y, label=labs),size=1,data=dat,inherit.aes = F)

给出了以下情节：

但是，我需要用图例的相应颜色为每个方面内的文本 "mean=..." 着色。即在 facet 所有 SV 中，'mean=0.0415' 应该是 "Genic" 颜色，“mean=0.0440' 应该是 'Intergenic' 颜色。

Answer 1

您需要向 "dat" 添加一列来表示每个 row/label 应该属于哪个组。我使用 NA 作为 p 值。

dat$Function = c("Genic", "Intergenic", NA, "Genic", "Intergenic", NA)

然后你可以将这个变量映射到geom_text中的color。您可以使用 show.legend = FALSE.

避免将 NA 添加到图例中

p1 + geom_text(aes(x, y, label = labs, color = Function), 
               size = 1, data = dat, inherit.aes = FALSE, show.legend = FALSE)

NA 颜色默认为 grey50，如果需要，您可以在 scale_color_discrete 中更改为其他颜色。

p1 + geom_text(aes(x, y, label = labs, color = Function), 
               size = 1, data = dat, inherit.aes = FALSE, show.legend = FALSE) +
    scale_color_discrete(na.value = "black")

在 R ggplot2 中按图例颜色为 facet 中的文本着色

Colour text in facet by legend color in R ggplot2

r

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ggplot2

geom-text