R可视化——箱线图绘制及显著性标记
2022-07-10 本文已影响0人
科研那点事儿
“ 在大家阅读文献的过程中,有时候会碰到下图所示的这种带有显著性标记的柱状图或者箱线图,这种图是怎么做出来的呢?今天,小编就使用R语言教大家如何绘制这样一张带有显著性标记的箱线图!”
01 准备数据
#自己编写的数据
df <- data.frame(
A = c(2,5,6,5,4,8,6,3,8,9),
B = c(15,10,5,18,12,13,16,14,10,9),
C = c(1,3,6,5,2,3,6,2,4,1)
)
#预览数据
head(df)
02 加载包并对数据进行预处理
#安装包
install.packages("ggplot2")
install.packages("ggpubr")
install.packages("ggsignif")
install.packages("tidyverse")
install.packages("ggprism")
#加载包
library(ggplot2)
library(ggpubr)
library(ggsignif)
library(tidyverse)
library(ggprism)#
处理数据,将我们之前生成的数据合并为一列,用于后续作图,当然,大家也可以按照处理完成的数据格式准备您的数据:
#使用tidyverse包对数据进行处理
df <- df %>%
gather(key = 'group',value = 'values') #gather()函数可以把多列数据合并成一列数据
head(df)#预览数据
![](https://img.haomeiwen.com/i28270211/9f43cc837e11a4cd.png)
03 绘图
我们先绘制箱线图:
ggplot(df,aes(x=group,y=values))+#指定数据
stat_boxplot(geom = "errorbar", width=0.1,size=0.8)+#添加误差线,注意位置,放到最后则这条先不会被箱体覆盖
geom_boxplot(aes(fill=group), #绘制箱线图函数
outlier.colour="white",size=0.8
![](https://img.haomeiwen.com/i28270211/0dc15fe0650626d7.png)
对图片进行简单美化,显示数据点:
p<-ggplot(df,aes(x=group,y=values))+#指定数据
stat_boxplot(geom = "errorbar", width=0.1,size=0.8)+#添加误差线,注意位置,放到最后则这条先不会被箱体覆盖
geom_boxplot(aes(fill=group), #绘制箱线图函数
outlier.colour="white",size=0.8)+#异常点去除
theme(panel.background =element_blank(), #背景
axis.line=element_line(),#坐标轴的线设为显示
legend.position="none",plot.title = element_text(size=14))+#图例位置
geom_jitter(width = 0.2)+#添加抖动点
ggtitle("boxplot")#标题
p
![](https://img.haomeiwen.com/i28270211/6ba78d349a0aa89b.png)
04 添加显著性标记
计算p值并将其添加至图中:
p <- p + geom_signif(comparisons = list(c("A","B"),c("A","C"),c("B","C")),#设置需要比较的组
test = t.test, ##计算方法
y_position = c(23,30,26),#图中横线位置设置
tip_length = c(c(0.05,0.05),c(0.05,0.05),c(0.05,0.05)),#横线下方的竖线设置
size=0.8,color="black")
![](https://img.haomeiwen.com/i28270211/66f2e34a20be13ce.png)
将图中显示的p值使用我们常见的星号替换掉,可以用map_signif_level = T/F进行设置:
p <- p + geom_signif(comparisons = list(c("A","B"),
c("A","C"),
c("B","C")),# 设置需要比较的组
map_signif_level = T,
test = t.test, ##计算方法
y_position = c(23,30,26),#图中横线位置设置
tip_length = c(c(0.05,0.05),
c(0.05,0.05),
c(0.05,0.05)),#横线下方的竖线设置
size=0.8,color="black")
![](https://img.haomeiwen.com/i28270211/ca964f031e56045f.png)
05 对图片进行美化
使用ggprism包对图片进行美化:
p + theme_prism(palette = "candy_bright",
base_fontface = "plain", # 字体样式,可选 bold, plain, italic
base_family = "serif", # 字体格式,可选 serif, sans, mono, Arial等
base_size = 16, # 图形的字体大小
base_line_size = 0.8, # 坐标轴的粗细
axis_text_angle = 45)+ # 可选值有 0,45,90,270
scale_fill_prism(palette = "candy_bright")
![](https://img.haomeiwen.com/i28270211/e2178840865b88a3.png)
通过改变ggprism包其中的参数设置得到自己的个性化图片:
![](https://img.haomeiwen.com/i28270211/20f881b0f975bdd3.png)
p + theme_prism(palette = "ocean",
base_fontface = "plain", # 字体样式,可选 bold, plain, italic
base_family = "serif", # 字体格式,可选 serif, sans, mono, Arial等
base_size = 16, # 图形的字体大小
base_line_size = 0.8, # 坐标轴的粗细
axis_text_angle = 45)+ # 可选值有 0,45,90,270
scale_fill_prism(palette = "ocean")
![](https://img.haomeiwen.com/i28270211/85f549e288a5b46a.png)
p + theme_prism(palette = "flames",
base_fontface = "plain", # 字体样式,可选 bold, plain, italic
base_family = "serif", # 字体格式,可选 serif, sans, mono, Arial等
base_size = 16, # 图形的字体大小
base_line_size = 0.8, # 坐标轴的粗细
axis_text_angle = 45)+ # 可选值有 0,45,90,270
scale_fill_prism(palette = "flames")
![](https://img.haomeiwen.com/i28270211/3c9ead023280ad4c.png)