准备数据文件.txt
这里准备的是BMI.txt(依旧是自己准备的数据)
![](https://img.haomeiwen.com/i28195519/1bb36c3cbad417e7.png)
绘制小提琴图:
BMI=read.table("BMI.txt",header = T,row.names=1,sep="\t")
library(ggplot2)
BMI$name=rownames(BMI)
BMI=BMI[,-6]
BMI
library(reshape2)
library(ggpubr)
library(ggsignif)
data=melt(BMI,id="gender")
ggviolin(data,x="variable",y="value",fill="gender",
palette=c('lancet'))#调色palette
![](https://img.haomeiwen.com/i28195519/0efc848e3d8491aa.png)
小提琴图添加箱线图:
#添加箱线图
ggviolin(data,x="variable",y="value",fill="gender",
palette=c('lancet'),
add="boxplot",
add.params = list(fill="white"))
############################################
BMI=read.table("BMI.txt",header = T,row.names=1,sep="\t")
library(ggplot2)
BMI$name=rownames(BMI)
BMI=BMI[,-6]
BMI
library(reshape2)
library(ggpubr)
library(ggsignif)
data=melt(BMI,id="gender")
library(ggplot2)
library(ggsci)
#install.packages("cowplot")
library(cowplot)
p<-ggplot(data,aes(x=variable,y=value,fill=gender))+
geom_violin(aes(fill=gender),alpha=0.7)+
#geom_point(aes(color=Species),position = "jitter")+#加抖动点
geom_point(position = position_jitter(width=0.15),size=1)+###缩小抖动点
geom_boxplot(width=0.1)+
geom_signif(
comparisons = list(c("weight","BMI")),test="t.test",
tip_length = 0.02,size = 1,textsize = 4,#增加***尺寸
map_signif_level = T #用*表示显著性,*---0.05,**---0.01,***---0.001
)+
scale_fill_brewer(palette = "Dark2")+
theme_cowplot() + theme(legend.position = c(0.85, 0.2))+
theme_classic()+
ggtitle("boxplot")+
labs(title = 'boxplot', # 添加主标题
x = "variable", # x轴的名字
y = "Value",
subtitle = 'Plot of name by value', # 添加次标记
caption = 'Data source: LX')+ #添加脚注
theme(plot.title = element_text(color = 'black', size = 16, hjust = 0.5),
plot.subtitle = element_text(color = 'black', size = 16,hjust = 0.5),
plot.caption = element_text(color = 'black', size = 16,face = 'italic', hjust = 1),
axis.text.x = element_text(color = 'black', size = 16, angle = 0),
axis.text.y = element_text(color = 'black', size = 16, angle = 0),
axis.title.x = element_text(color = 'black', size = 16, angle = 0),
axis.title.y = element_text(color = 'black', size = 16, angle = 90),
legend.title = element_text(color = 'black', size = 16),
legend.text = element_text(color = 'black', size = 16),
axis.line.y = element_line(color = 'black', linetype = 'solid'), # y轴线特征
axis.line.x = element_line (color = 'black',linetype = 'solid'), # x轴线特征
panel.border = element_rect(linetype = 'solid', size = 1.2,fill = NA)) # 图四周框起来
pdf("violin.pdf",width = 12,height = 8)
ggarrange(p, ncol = 2, nrow = 2)
dev.off()
![](https://img.haomeiwen.com/i28195519/f9abf2c885249397.png)
由于没有合适的数据,会出来的图有些许怪,主要关注绘图的方法~
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