如何用R语言ggplot2画折线图并添加误差线

折线图添加误差线是非常常用的一种可视化方法，今天的推文介绍一下使用R语言的ggplot2作图的代码。模仿的是论文 Phased diploid genome assemblies and pan-genomes provide insights into the genetic history of apple domestication 中的Figure3中的d图

数据保存为csv格式

df<-read.csv("line.csv",header=T)
df

library(ggplot2)
head(df)
ggplot(df,aes(x=time_point,y=value))+
  geom_line()+
  geom_point()+
  ylim(0,40)

ggplot(df,aes(x=time_point,y=value))+
  geom_line()+
  geom_point()+
  ylim(0,40)+
  geom_errorbar(aes(ymin=value-sd,
                    ymax=value+sd),
                width=0.2)

• 去掉灰色背景
• 添加坐标轴线
• 更改坐标轴的刻度和标签

ggplot(df,aes(x=time_point,y=value))+
  geom_line()+
  geom_point()+
  ylim(0,40)+
  geom_errorbar(aes(ymin=value-sd,
                    ymax=value+sd),
                width=0.2)+
  theme(panel.background = element_blank(),
        axis.line.x = element_line(),
        axis.line.y = element_line())+
  scale_x_continuous(breaks = 1:13,
                     labels = df$label)+
  labs(x=NULL,y=NULL,title = "AAA")

p1<-ggplot(df,aes(x=time_point,y=value))+
  geom_line()+
  geom_point()+
  ylim(0,40)+
  geom_errorbar(aes(ymin=value-sd,
                    ymax=value+sd),
                width=0.2)+
  theme(panel.background = element_blank(),
        axis.line.x = element_line(),
        axis.line.y = element_line())+
  scale_x_continuous(breaks = 1:13,
                     labels = df$label)+
  labs(x=NULL,y=NULL,title = "AAA")
library(cowplot)
plot_grid(p1,p1,p1,p1,p1,p1,ncol=2,nrow=3)