我是ggplot图书馆的新手。并尝试使用以下内容绘制绘图data.frame:
library(tidyverse)
df <-
tribble(~event, ~startdate,~enddate,~loc,
"A",as.POSIXct("1984/02/10"),as.POSIXct("1987/06/10"),"1",
"B",as.POSIXct("1984/02/11"),as.POSIXct("1990/02/12"),"2",
"A",as.POSIXct("1992/05/15"),as.POSIXct("1999/06/15"),"3",
"C",as.POSIXct("2003/08/29"),as.POSIXct("2015/08/29"),"4",
"B",as.POSIXct("2002/04/11"),as.POSIXct("2012/04/12"),"5",
"E",as.POSIXct("2000/02/10"),as.POSIXct("2005/02/15"),"6",
"A",as.POSIXct("1985/02/10"),as.POSIXct("1987/06/10"),"7",
"B",as.POSIXct("1989/02/11"),as.POSIXct("1990/02/12"),"8",
"A",as.POSIXct("1997/05/15"),as.POSIXct("1999/06/15"),"9",
"C",as.POSIXct("2010/08/29"),as.POSIXct("2015/08/29"),"10",
"B",as.POSIXct("2010/04/11"),as.POSIXct("2012/04/12"),"11",
"E",as.POSIXct("2004/02/10"),as.POSIXct("2005/02/15"),"12")
max_date = max(df$startdate,df$enddate)
Run Code Online (Sandbox Code Playgroud)
使用以下代码片段:
ggplot(df)+
geom_segment(aes(y=loc, yend = loc, x = startdate, xend = enddate, colour=event),size = 5,alpha=0.6) +
geom_label(aes(label=event, y = loc, x=max_date), size=2) +
xlab("Year") + ylab("LoC") +
scale_x_datetime(date_breaks = "year", date_labels = "%Y") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5)) +
facet_grid(rows = vars(event), scales = "free")
Run Code Online (Sandbox Code Playgroud)
我想订购 LoC 轴,即标签中的主要 Y 轴,即事件(次要 Y 轴)。在每个标签中,它应该按升序在主 Y 轴上打印一个点(对于事件 C (4 -> 10) 和 E(6 -> 10) 已经按升序排列)。如何在每个标签中按升序对其他点进行排序,即事件(我尝试使用order和fct_inorder从forcats库中对数据进行排序,但无法获得所需的结果,如下所示)?如何在每个组内打印单个标签?

请随时纠正我!
任何帮助都会很棒!谢谢!
您的包裹走在正确的轨道上forcats。
fct_inseq用于数字顺序,并fct_rev根据您想要小->大还是相反来翻转它。我还fct_reorder2为您的事件添加了一个(按地点和结束日期排序),但您可能希望按字母顺序保留它。
关于标签,最好创建一个新的数据框来设置标签的位置。我在下面使用 group_by 和 summarise 以及下面评论中的其他选项完成了此操作。
library(tidyverse, quietly = TRUE, warn.conflicts = FALSE)
#> Warning: package 'ggplot2' was built under R version 3.6.3
#> Warning: package 'tibble' was built under R version 3.6.3
#> Warning: package 'tidyr' was built under R version 3.6.3
#> Warning: package 'purrr' was built under R version 3.6.3
#> Warning: package 'dplyr' was built under R version 3.6.3
#> Warning: package 'forcats' was built under R version 3.6.3
df <- tribble(~event, ~startdate,~enddate,~loc,
"A",as.POSIXct("1984/02/10"),as.POSIXct("1987/06/10"),"1",
"B",as.POSIXct("1984/02/11"),as.POSIXct("1990/02/12"),"2",
"A",as.POSIXct("1992/05/15"),as.POSIXct("1999/06/15"),"3",
"C",as.POSIXct("2003/08/29"),as.POSIXct("2015/08/29"),"4",
"B",as.POSIXct("2002/04/11"),as.POSIXct("2012/04/12"),"5",
"E",as.POSIXct("2000/02/10"),as.POSIXct("2005/02/15"),"6",
"A",as.POSIXct("1985/02/10"),as.POSIXct("1987/06/10"),"7",
"B",as.POSIXct("1989/02/11"),as.POSIXct("1990/02/12"),"8",
"A",as.POSIXct("1997/05/15"),as.POSIXct("1999/06/15"),"9",
"C",as.POSIXct("2010/08/29"),as.POSIXct("2015/08/29"),"10",
"B",as.POSIXct("2010/04/11"),as.POSIXct("2012/04/12"),"11",
"E",as.POSIXct("2004/02/10"),as.POSIXct("2005/02/15"),"12") %>%
mutate(event = event %>% fct_reorder2(enddate, loc),
loc = loc %>% fct_inseq() %>% fct_rev())
max_date = max(df$startdate,df$enddate)
df_for_labels <- df %>% group_by(event) %>%
summarize(date = max_date, # max(enddate) would give you the label at each event's max(enddate)
loc = n()) # 1 for bottom-right. n() for top-right (counts number of rows in each event)
#> `summarise()` ungrouping output (override with `.groups` argument)
ggplot(df)+
geom_segment(aes(y=loc, yend = loc, x = startdate, xend = enddate, colour=event),size = 5,alpha=0.6) +
geom_label(data = df_for_labels, aes(label=event, y = loc, x=date), size=2) +
xlab("Year") + ylab("LoC") +
scale_x_datetime(date_breaks = "year", date_labels = "%Y") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5)) +
facet_grid(rows = vars(event), scales = "free")
Run Code Online (Sandbox Code Playgroud)

由reprex 包(v0.3.0)于 2020 年 10 月 21 日创建