[英]How to colour xlabs with the corresponding colour of its jitter in a geom_jitter?
I am trying to colour the xlabs with the same colour as the point they are labelling, but I am having some trouble.我试图用与它们标记的点相同的颜色为 xlab 着色,但我遇到了一些麻烦。
Each jitter is coloured depending on a specified variable levels, and I want the same for the xlabs.每个抖动都根据指定的变量级别着色,我希望 xlabs 也是如此。
This is my code to plot the figure:这是我绘制图形的代码:
ggplot(coverage_data, aes(x=x_values, y=coverage_data$mean, fill=coverage_data$frecuency))+
geom_jitter(size=2.5, shape=21, stroke=1.5)+
scale_fill_manual(name = "frecuency", values =c("deepskyblue4", "gray67", "darkgoldenrod2", "springgreen4", "brown1", "white"))+
xlab("Id")+
ylab("max coverage")+
theme(axis.text.x=element_text(hjust=1, colour = 'black', size = 9))
If I declare colour ( in theme(axis.text.x(element_text)) ) as a vector I get an error.如果我将颜色( in theme(axis.text.x(element_text)) )声明为向量,则会出现错误。 Do you know how can I achieve that?
你知道我怎样才能做到这一点吗?
Passing a vector of colors generates a warning, but with ggplot2 3.3.0
(what I'm running) it does work.传递颜色向量会产生警告,但使用
ggplot2 3.3.0
(我正在运行的)它确实有效。
Since you didn't share any data I've made some up:由于您没有共享任何数据,因此我编了一些:
frecuency <- rep(c("A", "B", "C", "D", "E", "F"), 10)
mean <- runif(60, 10, 20)
x_values <- runif(60, 1, 100)
coverage_data <- data.frame(frecuency, mean, x_values, stringsAsFactors = FALSE)
ggplot(coverage_data, aes(x= x_values, y= mean, fill= frecuency))+
geom_jitter(size=2.5, shape=21, stroke=1.5)+
scale_fill_manual(name = "frecuency", values =c("deepskyblue4", "gray67", "darkgoldenrod2", "springgreen4", "brown1", "white"))+
xlab("Id")+
ylab("max coverage")+
theme(axis.text.x=element_text(hjust=1, colour = c("black", "blue", "green", "yellow", "red"), size = 9))
Warning message: Vectorized input to
element_text()
is not officially supported.警告消息:对
element_text()
矢量化输入不受官方支持。 Results may be unexpected or may change in future versions of ggplot2.结果可能出乎意料,也可能在 ggplot2 的未来版本中发生变化。
sessionInfo()
R version 3.6.2 (2019-12-12)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)
other attached packages:
[1] ggQC_0.0.31 readxl_1.3.1 forcats_0.5.0
[4] stringr_1.4.0 dplyr_0.8.3 purrr_0.3.3
[7] readr_1.3.1 tidyr_1.0.2 tibble_2.1.3
[10] ggplot2_3.3.0 tidyverse_1.3.0
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