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uti_ab_check_2_oc.R
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uti_ab_check_2_oc.R
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library("data.table")
library("dplyr")
library('here')
library("tidyverse")
library("lubridate")
rm(list=ls())
setwd(here::here("output", "measures"))
#setwd("/Users/yayang/Documents/GitHub/amr-uom-brit/output/measures")
# # file list
# Files = list.files(pattern="ab_type_20", full.names = FALSE)
# temp <- vector("list", length(Files))
# for (i in seq_along(Files)){
# DF=read_rds(Files[i])
# #dat=rbindlist(DF)
# dat=bind_rows(DF)
# rm(DF)
# # filter incident
# dat=dat%>%filter(type=="Trimethoprim"|type=="Nitrofurantoin")
# # summarise ab counts
# dat=dat%>%group_by(date,type)%>%summarise(count=n())
# #round ~5
# dat$count=round(dat$count/5)*5
# # percentage
# dat=dat%>%group_by(date)%>%mutate(total=sum(count))
# temp[[i]] = dat
# rm(dat)
# }
# # combine list->data.frame
# dat=bind_rows(temp)
# rm(temp,dat.sum,i,Files)
# # group by month
# dat$cal_YM=format(dat$date,"%Y-%m")
# dat=dat%>%group_by(cal_YM,type)%>%summarise(count=sum(count),total=sum(total))
# # remove last month data
# last.date=max(dat$cal_YM)
# dat=dat%>% filter(cal_YM != last.date)
# dat$value=dat$count/dat$total
# dat=dat%>%arrange(cal_YM)
date= seq(as.Date("2019-01-01"), as.Date("2022-06-01"), "month")
Files = list.files(pattern="measure_ratio_oc", full.names = FALSE)
temp <- vector("list", length(Files))
for (i in seq_along(Files)){
DF=read_csv(Files[i])
DF$date=date[i]
temp[[i]] = DF
}
dat=bind_rows(temp)
## # line graph-percent
lineplot<- ggplot(dat, aes(x=date,y=value))+
annotate(geom = "rect", xmin = as.Date("2021-01-01"),xmax = as.Date("2021-04-01"),ymin = -Inf, ymax = Inf,fill="grey80", alpha=0.5)+
annotate(geom = "rect", xmin = as.Date("2020-11-01"),xmax = as.Date("2020-12-01"),ymin = -Inf, ymax = Inf,fill="grey80", alpha=0.5)+
annotate(geom = "rect", xmin = as.Date("2020-03-01"),xmax = as.Date("2020-06-01"),ymin = -Inf, ymax = Inf,fill="grey80", alpha=0.5)+
geom_line()+
theme(legend.position = "bottom",legend.title =element_blank())+
labs(
title = "Trimethoprim/(Trimethoprim+Nitrofurantoin)",
caption = "Grey shading represents national lockdown time. ",
y = "ratio",
x=""
)+
theme(axis.text.x=element_text(angle=60,hjust=1))
## # line graph-percent
lineplot2<- ggplot(dat, aes(x=date))+
annotate(geom = "rect", xmin = as.Date("2021-01-01"),xmax = as.Date("2021-04-01"),ymin = -Inf, ymax = Inf,fill="grey80", alpha=0.5)+
annotate(geom = "rect", xmin = as.Date("2020-11-01"),xmax = as.Date("2020-12-01"),ymin = -Inf, ymax = Inf,fill="grey80", alpha=0.5)+
annotate(geom = "rect", xmin = as.Date("2020-03-01"),xmax = as.Date("2020-06-01"),ymin = -Inf, ymax = Inf,fill="grey80", alpha=0.5)+
geom_line(aes(y=Trim_Nirto-Trimethoprim))+
theme(legend.position = "bottom",legend.title =element_blank())+
labs(
title = "Nitrofurantoin",
caption = "Grey shading represents national lockdown time. ",
y = "items",
x=""
)+
theme(axis.text.x=element_text(angle=60,hjust=1))
# scale_x_date(date_labels = "%m-%Y", date_breaks = "1 month")
# scale_y_continuous(labels = scales::percent)+
# scale_shape_manual(values = c(rep(1:8))) +
#scale_color_manual(values = c("red","goldenrod2","green3","forestgreen","deepskyblue","darkorchid1","darkblue","azure4"))
## # line graph-percent
lineplot3<- ggplot(dat, aes(x=date))+
annotate(geom = "rect", xmin = as.Date("2021-01-01"),xmax = as.Date("2021-04-01"),ymin = -Inf, ymax = Inf,fill="grey80", alpha=0.5)+
annotate(geom = "rect", xmin = as.Date("2020-11-01"),xmax = as.Date("2020-12-01"),ymin = -Inf, ymax = Inf,fill="grey80", alpha=0.5)+
annotate(geom = "rect", xmin = as.Date("2020-03-01"),xmax = as.Date("2020-06-01"),ymin = -Inf, ymax = Inf,fill="grey80", alpha=0.5)+
geom_line(aes(y=Trimethoprim))+
theme(legend.position = "bottom",legend.title =element_blank())+
labs(
title = "Trimethoprim",
caption = "Grey shading represents national lockdown time. ",
y = "items",
x=""
)+
theme(axis.text.x=element_text(angle=60,hjust=1))
ggsave(
plot= lineplot,
filename="uti_ab_ratio_check_line_oc.jpeg", path=here::here("output"),
)
ggsave(
plot= lineplot2,
filename="uti_ab_ratio_check_line2_oc.jpeg", path=here::here("output"),
)
ggsave(
plot= lineplot3,
filename="uti_ab_ratio_check_line3_oc.jpeg", path=here::here("output"),
)
write_csv(dat, here::here("output", "uti_ab_ratio_check_oc.csv"))