1. 绘制环形图：

安装需要的包：

install.packages("tidyverse")
install.packages("ggthemes")

数据准备与作图：

library(tidyverse)
library(ggthemes)
nm<-c('Xenobiotics','Unnamed','Nucleotide','Lipid','Peptide','Amino acid' )
rate<-c(7,3,1,19,1,9)
Set3<-c('red','yellow','brown','orange','pink','green')

rate_per<-paste(as.character(rate))
ad<-data.frame(type=nm,n=rate,rate_per=rate_per)

ad$fraction = ad$n / sum(ad$n)
ad$ymax = cumsum(ad$fraction)
ad$ymin = c(0, head(ad$ymax, n = -1))

绘制环形图：

p1<-ggplot(data = ad, aes(fill = type, ymax = ymax, ymin = ymin, xmax = 4, xmin = 3)) +
    geom_rect(show.legend = F,alpha=0.8) +
    scale_fill_brewer(palette =Set3)+
    coord_polar(theta = "y") +
    labs(x = "", y = "", title = "b") + 
    xlim(c(0, 5)) +
    theme_light() +
    theme(panel.grid=element_blank()) + ## 去掉白色外框
    theme(axis.text=element_blank()) + ## 把图旁边的标签去掉
    theme(axis.ticks=element_blank()) + ## 去掉左上角的坐标刻度线
    theme(panel.border=element_blank()) + ## 去掉最外层的正方形边框
    geom_text(aes(x = 5.0, y = ((ymin+ymax)/2),label = type) ,size=4,vjust=1.5)+
    geom_text(aes(x = 3.5, y = ((ymin+ymax)/2),label = rate_per) ,size=4.7,vjust=0.4)
p1

得到：

image.png

2. 绘制饼图：

数据准备:

df <- data.frame ( group = c( "Chemical", "Fodd component", "Benzonate"),  value = c(1, 2, 4) )
head(df)

image.png

绘制柱状图：

library(ggplot2)
 # Barplot
bp<- ggplot(df, aes(x="", y=value, fill=group))+ geom_bar(width = 1, stat = "identity")
bp

image.png

转换成饼图：

pie <- bp + coord_polar("y", start=0)
pie

image.png

进行调整：

# Use custom color palettes
pie<-pie+ scale_fill_manual(values=c("darkgreen", "green", "lightgreen"))
# Use custom color palettes
pie1<-pie + scale_fill_manual(values=c("darkgreen", "green", "lightgreen"))
# Use custom color palettes
pie2<-pie1+theme(
axis.title.x = element_blank(),
axis.title.y = element_blank(),
panel.border = element_blank(),
panel.grid=element_blank(),
axis.ticks = element_blank(),
plot.title=element_text(size=14, face="bold")
)
pie2

image.png

设置空白theme函数：

blank_theme <- theme_minimal()+theme(
        axis.title.x = element_blank(),
        axis.title.y = element_blank(),
        panel.border = element_blank(),
        panel.grid=element_blank(),
        axis.ticks = element_blank(),
        plot.title=element_text(size=14, face="bold")
    )

调整：

library(scales)
pie + scale_fill_grey() +  blank_theme +
    theme(axis.text.x=element_blank()) +
    geom_text(aes(y = value/3 + c(0, cumsum(value)[-length(value)]), 
                  label = (value)), size=5)

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绘制对应数值的pie:

library(scales)
pie + scale_fill_grey() +  blank_theme +
    theme(axis.text.x=element_blank()) +
    geom_text(aes(y = value/3 + c(0, cumsum(value)[-length(value)]), 
                  label = (value/100)), size=5)

image.png

或者颜色调整：

pie+scale_fill_brewer()+blank_theme + theme(axis.text.x=element_blank()) +geom_text(aes(y = value/3 + c(0, cumsum(value)[-length(value)]),  label = 100*(value/100)), size=5)

image.png

删除legend:

pie+scale_fill_brewer()+blank_theme + theme(axis.text.x=element_blank()) +geom_text(aes(y = value/3 + c(0, cumsum(value)[-length(value)]),  label = 100*(value/100)), size=5)+ theme(legend.position = "none")

image.png