社区首页 >专栏 >跟着Plos Biology学作图：R语言ggplot2双Y轴折线图、置信区间、误差线

跟着Plos Biology学作图：R语言ggplot2双Y轴折线图、置信区间、误差线

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发布于 2022-05-23 07:40:12

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代码可运行

文章被收录于专栏：小明的数据分析笔记本小明的数据分析笔记本

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代码可运行

论文

Large variation in the association between seasonal antibiotic use and resistance across multiple bacterial species and antibiotic classes

数据代码链接

https://github.com/orgs/gradlab/repositories

今天的推文重复一下论文中的 Figure S3,双Y轴的折线图

image.png

经过论文提供的代码运行，得到作图数据集

regressions

dat01$deviates_table[[1]]

将这三个数据集保存为csv文件

library(tidyverse)
library(readr)

regressions %>% 
  write_csv(file = "regressions.csv")
ci %>% 
  write_csv(file = "ci.csv")
dat01$deviates_table[[1]] %>% 
  write_csv(file = "deviates_table.csv")

作图第一步读取数据集

regressions<-read_csv("regressions.csv")
head(regressions)
ci<-read_csv("ci.csv")
head(ci)
deviates_table<-read_csv("deviates_table.csv")
head(deviates_table)

作图代码

library(ggplot2)
col<-"#359023"
title<-"Ampicillin *"
ratio<-27.79891
ggplot()+
  geom_point(data=deviates_table,
             aes(x=month,y=seasonal_deviate))+
  geom_errorbar(data = deviates_table, 
                aes(x = month, 
                    ymin = seasonal_deviate - sem, 
                    ymax = seasonal_deviate + sem), 
                width = 0.5, 
                color = col)+
  geom_line(data=regressions,
            aes(x = month, y = value, 
                color = leg, linetype = leg), 
            size = 0.7) +
  geom_ribbon(data = ci, 
              aes(x = month, ymin = r_lower, 
                  ymax = r_upper), 
              fill = col, 
              alpha = 0.3) +
  geom_ribbon(data = ci, 
              aes(x = month, 
                  ymin = u_upper/ratio, 
                  ymax = u_lower/ratio), 
              fill = "grey20", alpha = 0.3) +
  scale_color_manual(values = c(col, "grey20")) +
  scale_y_continuous(sec.axis = sec_axis(~. * ratio), 
                     limits = c(-.165, .165)) +
  scale_x_continuous(breaks=c(1, 3, 5, 7, 9, 11)) +
  ggtitle(title) +
  xlab("Month") +
  theme_classic() +
  guides(color = guide_legend(nrow = 2, byrow = TRUE)) +
  theme(legend.position = "bottom",
        legend.title = element_blank(),
        legend.text = element_text(size = 9),
        plot.title = element_text(size = 11, hjust = 0.5, face = "bold"),
        axis.text = element_text(size = 10),
        axis.title.y = element_blank()
  ) -> f3splot

print(f3splot)

添加两个坐标轴的标题

library(ggpubr)
f3splot %>% 
  annotate_figure(left = text_grob(expression("Seasonal deviates in resistance ("*log["2"]*"(MIC))"), size = 10, rot = 90)) %>%
  annotate_figure(right = text_grob("Seasonal deviates in use\n(mean daily claims/10,000 people)", size = 10, rot = 270))