使用ggplot和lubridate创建季度面试时间

问题描述 投票:2回答:1

我已经使用ggplot和lubridate创建了一个时序图,描绘了两年期间的疾病事件。我似乎无法找到一种方法来获取X轴标签来描述年份和季度。

library(tidyverse)
Event.number <- c(1:30)
Event.date <- sample(seq(as.Date('2010/01/01'), as.Date('2012/12/31'), by="day"), 30)      
Disease <- c("A", "A", "B", "A", "B","A", "A", "B", "A", "B","A", "A", "B", "A", "B","A", "A", "B", "A", "B" ,"A", "A", "B", "A", "B","A", "A", "B", "A", "B")

data.frame(Event.number, Event.date, Disease) %>% 
  mutate(Year.Quarter = quarter(Event.date, with_year = TRUE)) %>% 
  select(Event.number, Year.Quarter, Disease) %>% 
  group_by(Year.Quarter, Disease) %>% 
  count(name = "Cases") %>% 
  ggplot(aes(Year.Quarter, Cases, colour = Disease))+
  geom_point()+
  geom_line()+
  theme_minimal()

enter image description here

任何帮助或建议,我们将不胜感激。

r ggplot2 label lubridate timeserieschart
1个回答
2
投票

根据问题下的注释,如下所示更改mutate以使用yearqtr类,并将scale_x_yearqtr()添加到ggplot命令。还要注意,group_by / count语句可以简化为count语句。有关标签的进一步自定义,请参见format=处的?scale_x_yearqtr自变量。

library(zoo)

DF <-  data.frame(Event.number, Event.date, Disease) %>% 
  mutate(Year.Quarter = as.yearqtr(Event.date)) %>%
  select(Event.number, Year.Quarter, Disease) %>% 
  count(Year.Quarter, Disease, name = "Cases")

ggplot(DF, aes(Year.Quarter, Cases, colour = Disease)) +
    geom_point() +
    geom_line() +
    theme_minimal() +
    scale_x_yearqtr(n = 99)

screenshot

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