跟着Nature Communications学作图：R语言ggplot2平滑曲线折线图

计算机软件开发 · 2024-9-12 15:32:50

论文

A highly conserved core bacterial microbiota with nitrogen-fixation capacity inhabits the xylem sap in maize plants
https://www.nature.com/articles/s41467-022-31113-w
当地pdf s41467-022-31113-w.pdf
数据代码链接

https://github.com/PlantNutrition/Liyu
本日的推文我们重复一下论文中的Figure2e
关于平滑曲线，之前的推文有过先容，可以参考
我们看下这个论文里是用什么代码来实现的
示例数据集部分截图

读取数据

top_genus <- read.delim("data/20220616/top_genus.txt", header=T, row.names=1, sep="\t", stringsAsFactors = FALSE, check.names = FALSE)赋予因子程度

top_genus$Genus<-factor( top_genus$Genus, levels=c("Bacillus","Cronobacter", "Unclassified_Enterobacterales", "Klebsiella","

antoea", "

seudomonas","Rosenbergiella"), labels = c("Bacillus","Cronobacter", "Unclassified_Enterobacterales", "Klebsiella","

antoea", "

seudomonas","Rosenbergiella"))预备配色

phy.cols <- c("#85BA8F", "#A3C8DC", "#349839","#EA5D2D", "#EABB77","#F09594","#2072A8")普通折线图的代码

library(ggplot2)p=ggplot(data=top_genus, aes(x=Compartment,y=RA, group=Genus,colour=Genus))+ geom_point(size=3)+ labs(x="Compartments", y="Relative abundance (%)")+ geom_line()+ scale_x_discrete(limits=c("RS","RE","VE","SE","LE","

","BS"))+ scale_colour_manual(values=phy.cols) p

论文中提供的代码没有效BS的数据，以是会有告诫信息

平滑曲线他用到的是 ggalt包中的 geom_xspline函数
library(ggalt)p2<-ggplot(data=top_genus,aes(x=Compartment,y=RA, group=Genus,colour=Genus))+ geom_point(size=3)+ labs(x="Compartments", y="Relative abundance (%)")+ geom_xspline(spline_shape = -0.5)+ scale_x_discrete(limits=c("RS","RE","VE","SE","LE","

"))+ scale_colour_manual(values=phy.cols) p2拼图

mytheme = theme_bw() + theme(axis.text.x = element_text(size = 8),axis.text.y = element_text(size = 8))+ theme(axis.title.y= element_text(size=12))+theme(axis.title.x = element_text(size = 12))+ theme(legend.title=element_text(size=5),legend.text=element_text(size=5))+theme(legend.position = "bottom")library(patchwork)p+mytheme + p2 + mytheme + plot_layout(guides = "collect")+ plot_annotation(theme = theme(legend.position = "bottom"))

示例数据和代码可以到论文中去下载，大概直接在公众号配景留言20220616获取

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跟着Nature Communications学作图：R语言ggplot2平滑曲线折线图

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