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
- ci
- dat01$deviates_table[[1]]
将这三个数据集保存为csv文件
代码语言：javascript复制library(tidyverse)
library(readr)
regressions %>%
write_csv(file = "regressions.csv")
ci %>%
write_csv(file = "ci.csv")
dat01$deviates_table[[1]] %>%
write_csv(file = "deviates_table.csv")
作图第一步读取数据集
代码语言：javascript复制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
代码语言：javascript复制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
代码语言：javascript复制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 usen(mean daily claims/10,000 people)", size = 10, rot = 270))
image.png
