2016-11-07 96 views
1

我有一个样本数据帧:彩色文本由R中说明的颜色GGPLOT2

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)) 

我已使用”

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

从注释文本绘制数据帧:

> 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) 

它给出下面的情节:

enter image description here

但是,我需要通过传说的相应的颜色上色文本“的意思= ...”每个面内。即所有的SV,'平均= 0.0415'应该是在“基因”颜色和“平均= 0.0440”在'间隔'颜色

+1

你怎么知道哪个函数的颜色不在'dat'中是哪个函数的颜色? –

回答

2

你需要添加一列到“dat”来表示什么组每一行/标签应该是。我用NA的p值。

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

然后你就可以在geom_text这个变量来color地图。你能避免使用show.legend = FALSE加入NA传说。

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,您可以将其更改为scale_color_discrete

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") 
+0

它的工作原理! 1.如何更改带有标题“All SVs”和“bDEL”的条宽度,我试过'strip.background = element_rect(size = 0.5)',这没有任何效果!! 2.可以为每个方面添加标题,如a,b,c,d ...这是正常使用ggtitle() – chas

+0

@chas我认为带的宽度将始终与图一样宽,但您可以更改这些标题和/或通过一些'theme'参数一起删除strip背景,您可以通过'facet_wrap'中的'labeller'添加/更改标题,或者通过改变用作facet变量的因子的级别。 – aosmith