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R绘图模板——小提琴图的绘制!

王志山 科研后花园 2023-09-08
 

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代码如下:

1、加载R包:

library(ggplot2)#绘图包library(ggpubr)#基于ggplot2的可视化包,主要用于绘制符合出版要求的图形library(ggsignif)#用于P值计算和显著性标记library(tidyverse)#数据预处理library(ggprism)#提供了GraphPad prism风格的主题和颜色,主要用于美化我们的图形library(vioplot)#小提琴图绘制包library(RColorBrewer) # ColorBrewer Paletteslibrary(grid) # The Grid Graphics Packagelibrary(scales) # Scale Functions for Visualization

2、构造数据:

df <- data.frame( A_1 = c(2,5,6,5,4,8,6,3,8,9), A_2 = c(5,8,6,3,4,7,9,3,6,4), B_1 = c(15,10,5,18,12,13,16,14,10,9), B_2 = c(25,20,23,15,14,24,20,22,25,26), C_1 = c(1,3,6,5,2,3,6,2,4,1), C_2 = c(7,8,9,6,7,8,9,6,7,10))#预览数据head(df)#使用tidyverse包对数据进行处理df <- df %>% gather(key = 'samples',value = 'values') #gather()函数可以把多列数据合并成一列数据
#添加分组信息df$group = rep(c("A","B","C"), each = 20)head(df)#预览数据

3、颜色:

#背景色color <- colorRampPalette(brewer.pal(11,"BrBG"))(30)#配色col <- colorRampPalette(brewer.pal(9,"Set1"))(6)

4、绘图

vioplot(values~samples, data = df, main = "vioplot", # 设置标题 col=c("#000000", "#be0027", "#cf8d2e","#e4e932","#2c9f45","#371777"),# 设置小提琴颜色 xlab="Samples", ylab="values")

ggplot(df, aes(x=samples, y=values, fill=samples))+#指定数据 geom_violin(trim = T,position = position_dodge(width = 0.1), scale = 'width')+#绘制小提琴图函数 geom_boxplot(alpha=1,outlier.size=0, size=0.3, width=0.2,fill="white")+#添加箱线图 stat_summary(fun="mean",geom="point",shape=21, size=2,fill="blue")+#均值点 labs(x=NULL,y=NULL)+#标题 theme_bw()+ theme(panel.grid = element_blank(), #背景 axis.line=element_line(),#坐标轴的线设为显示 legend.position="none",#图例位置 axis.text=element_text(color='#003b64',size=12), legend.text = element_text(color='#003b64',size=12), axis.title= element_text(size=12), axis.text.x=element_text(angle = 45,vjust = 1,hjust = 1))+ scale_fill_manual(values = col)+ geom_signif(comparisons = list(c("A_1","A_2"),#显著性 c("B_1","B_2"), c("C_1","C_2")),# 设置需要比较的组 map_signif_level = T, #是否使用星号显示 test = "t.test", ##计算方法 tip_length = c(c(0.01,0.01), c(0.01,0.01), c(0.01,0.01)),#横线下方的竖线设置 size=0.8,color="black")
#添加背景grid.raster(alpha(color, 0.2), width = unit(1, "npc"), height = unit(1,"npc"), interpolate = T)


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