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最近在看论文 Phased diploid genome assemblies and pan-genomes provide insights into the genetic history of apple domestication
今天的笔记记录的是论文中Figure2图b中的饼图的画法

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ggplot2画拼图我个人认为相对是比较麻烦的，而且要实现上图这种各个部分能够分开的好像不太好实现。之前找饼状图的资料的时候发现了ggforce这个包，用他来做饼图相对方便很多，今天的内容主要用这个包里的函数来实现

第一步还是准备数据

数据只需要两列就可以了

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第一次用ggforce这个包还是需要先安装

install.packages("ggforce")

最基本的饼图代码如下

df1<-read.csv("pieplot/AA.csv",header = T)
df1
ggplot()+
  geom_arc_bar(data=df1,
               stat = "pie",
               aes(x0=0,y0=0,r0=0,r=2,
                   amount=value,fill=Var,
                   explode=c(0.05,0.05,0.05,0)),
               )

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关键还可以把中间给弄成空心的

ggplot()+
  geom_arc_bar(data=df1,
               stat = "pie",
               aes(x0=0,y0=0,r0=1,r=2,
                   amount=value,fill=Var,
                   explode=c(0.05,0.05,0.05,0)),
               )

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做饼状图用到的函数是geom_arc_bar()，这个函数里参数的作用之前录制过视频大家可以参考一下

接下来是简单的美化，最后拼图就好了

library(ggforce)
df1<-read.csv("pieplot/AA.csv",header = T)
df1
df2<-edit(df1)
p1<-ggplot()+
  geom_arc_bar(data=df1,
               stat = "pie",
               aes(x0=0,y0=0,r0=0,r=2,
                   amount=value,fill=Var,
                   explode=c(0.05,0.05,0.05,0)),
               )+
  scale_fill_manual(values = c("#80c97f","#a68dc8",
                               "#ffc000","#c00000"))+
  annotate("text",x=0,y=-2.2,label="32.72%")+
  annotate("text",x=-1.6,y=1.5,label="36.76%",angle=50)+
  annotate("text",x=1.6,y=1.5,label="30.52%",angle=-50)+
  theme_void()+
  theme(legend.position = "none",
        plot.title = element_text(hjust = 0.5,face="italic"))+
  labs(title = "GDDH13")
p2<-ggplot()+
  geom_arc_bar(data=df1,
               stat = "pie",
               aes(x0=0,y0=0,r0=0,r=2,
                   amount=value,fill=Var,
                   explode=c(0.05,0.05,0.05,0)),
  )+
  scale_fill_manual(values = c("#80c97f","#a68dc8",
                               "#ffc000","#c00000"))+
  annotate("text",x=0,y=-2.2,label="32.72%")+
  annotate("text",x=-1.6,y=1.5,label="36.76%",angle=50)+
  annotate("text",x=1.6,y=1.5,label="30.52%",angle=-50)+
  theme_void()+
  theme(legend.position = "none",
        plot.title = element_text(hjust = 0.5,face="italic"))+
  labs(title = "GDDH13")
p3<-ggplot()+
  geom_arc_bar(data=df2,
               stat = "pie",
               aes(x0=0,y0=0,r0=0,r=2,
                   amount=value,fill=Var,
                   explode=c(0.05,0.05,0.05,0.05)),
  )+
  scale_fill_manual(values = c("#80c97f","#a68dc8",
                               "#ffc000","#c00000"))+
  annotate("text",x=0.5,y=-2.2,label="32.72%")+
  annotate("text",x=-1.6,y=1.5,label="16.76%",angle=50)+
  annotate("text",x=-2.2,y=0.5,label="30%",angle=80)+
  annotate("text",x=1.6,y=1.5,label="30.52%",angle=-50)+
  theme_void()+
  theme(legend.position = "none",
        plot.title = element_text(hjust = 0.5,face="italic"))+
  labs(title = "GDDH13")
p3
library(cowplot)
plot_grid(p1,p2,p3,ncol = 2,nrow=2)

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这样是没有图例的，我想到的办法是重新做一个图，拼接到右下角作为图例

df4<-data.frame(x=1,y=c(1,2,3,4),label=c("A","B","C","D"))
p4<-ggplot(df4,aes(x=x,y=y))+
  geom_text(aes(x=x+0.2,y=y,label=label))+
  geom_point(aes(color=label),show.legend = F,size=4)+
  theme_void()+
  ylim(-8,8)+xlim(-1,3)+
  scale_color_manual(values = c("#80c97f","#a68dc8",
                               "#ffc000","#c00000"))
plot_grid(p1,p2,p3,p4,ncol = 2,nrow=2)

最终的效果如下

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小明的数据分析笔记本