論文
Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic

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本地文件 s41564-020-0771-4.pdf
代碼和數(shù)據(jù)下載鏈接
https://github.com/plemey/SARSCoV2origins
今天的推文我們來重復(fù)一下論文中的 Figure 2 中的簇狀柱形圖

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之前的推文也介紹過R語言ggplot2做簇狀柱形圖的代碼,這個圖和之前的比較常規(guī)的簇狀柱形圖的區(qū)別在于多了一個貼近坐標(biāo)軸的分組線段,今天的推文主要介紹的是這個的實現(xiàn)辦法
有一個R包是ggh4x,這里有函數(shù)可以直接控制坐標(biāo)軸的范圍
沒有找到原文的原始數(shù)據(jù),直接自己隨便構(gòu)造一個數(shù)據(jù)

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加載需要用到的R包
library(readxl)
library(ggplot2)
library(ggh4x)
讀取數(shù)據(jù)
df<-read_excel("Figure2.xlsx")
df
最普通的簇狀柱形圖
ggplot(data=df,aes(x=x,y=y))+
geom_col(aes(fill=group),
position = position_dodge(0.4),
width = 0.3)

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設(shè)置柱子的先后順序
df$x<-factor(df$x,
levels = c("NTD","CTD","Variable loop","S1 3 end","S2"))
df$group<-factor(df$group,
levels = c("Pangolin Guangdong 2019",
"Pangolin Guangxi 2017 (P5L)",
"Yunnan 2013 (RaTG13)"))
簡單美化
ggplot(data=df,aes(x=x,y=y))+
geom_col(aes(fill=group),
position = position_dodge(0.4),
width = 0.3,
show.legend = F)+
scale_y_continuous(expand = c(0,0),
limits = c(-0.1,1))+
theme_minimal()+
theme(panel.grid = element_blank(),
axis.line.y = element_line(),
axis.ticks.y = element_line())+
labs(x="loop removed",
y="Genetic distance from human\nSARS-CoV-2\n(substitutions per site)")+
annotate(geom = "segment",
x=0.6,y=0,xend = 5.4,yend = 0)+
scale_fill_manual(values = c("#ff7a17",
"#808284",
"#1db280"))+
# theme(#plot.margin = unit(c(0.5,0.1,2,0.5),"cm"),
#
# axis.text.x = element_text(margin =
# margin(2,0,0,0,unit = "cm")))+
guides(y=guide_axis_truncated(trunc_lower = 0,
trunc_upper = 1)) -> p1
p1

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最后是添加表示分組的柱子
p1+ annotate(geom = "segment",
x=0.6,xend=1.4,
y=-0.05,yend = -0.05,
size=5,
color="#c2abd3")+
annotate(geom = "segment",
x=1.6,xend=2.4,
y=-0.05,yend = -0.05,
size=5,
color="#d899be")+
annotate(geom = "segment",
x=2.6,xend=3.4,
y=-0.05,yend = -0.05,
size=5,
color="#d5d6e9")+
annotate(geom = "segment",
x=3.6,xend=4.4,
y=-0.05,yend = -0.05,
size=5,
color="#d899be")+
annotate(geom = "segment",
x=4.6,xend=5.4,
y=-0.05,yend = -0.05,
size=5,
color="#f8a5c9")

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