我使用 ggplot 将各种事件绘制为事件开始的日期（x 轴）和开始时间（y 轴）的函数。数据/代码如下：
date<-c("2013-06-05","2013-06-05","2013-06-04","2013-06-04","2013-06-04","2013-06-04","2013-06-04",
"2013-06-04","2013-06-04","2013-06-03","2013-06-03","2013-06-03","2013-06-03","2013-06-03",
"2013-06-02","2013-06-02","2013-06-02","2013-06-02","2013-06-02","2013-06-02","2013-06-02")
start <-c("07:36:00","01:30:00","22:19:00","22:12:00","20:16:00","19:19:00","09:00:00",
"06:45:00","01:03:00","22:15:00","19:05:00","08:59:00","08:01:00","07:08:00",
"23:24:00","20:39:00","18:53:00","16:57:00","15:07:00","14:33:00","13:24:00")
duration <-c(0.5,6.1,2.18,0.12,1.93,0.95,10.32,
2.25,5.7,2.78,3.17,9.03,0.95,0.88,
7.73,2.75,1.77,1.92,1.83,0.57,1.13)
event <-c("AF201","SS431","BE201","CD331","HG511","CD331","WQ115",
"CD331","SS431","WQ115","HG511","WQ115","CD331","AF201",
"SS431","WQ115","HG511","WQ115","CD331","AS335","CD331")
df<-data.frame(date,start,duration,event)
library(ggplot2)
library(scales)
p <- ggplot(df, aes(as.Date(date),as.POSIXct(start,format='%H:%M:%S'),color=event))
p <- p+geom_point(alpha = I(6/10),size=5)
p + ylab("time (hr)") + xlab("date") + scale_x_date(labels = date_format("%m/%d")) +
scale_y_datetime(labels = date_format("%H"))+
scale_colour_hue(h=c(360, 90))
theme(axis.text.x = element_text(hjust=1, angle=0))
结果图如下所示：
问题：我如何绘制一个跨越事件持续时间的条形图，而不是简单地用单个点指示事件的开始时间（如上所示）？如上面的数据框所示，我有这个持续时间数据（以小时为单位）。或者，我可以提供“停止时间”（未显示）。
我想象解决方案看起来像堆积条形图。然而，条形图并不完全正确，因为它假设条形图从图的底部开始，并且垂直堆叠的事件之间没有间隙。我的事件可能是不连续的——在 y 轴上的不同位置“开始”和“停止”。该解决方案还必须考虑到 1) 某些事件最终可能是并发的（时间重叠），2) 某些事件将持续多天。
如果有任何建议，我将非常感激！
有点不清楚你到底想要什么 - @Michele 的答案似乎不错，我不清楚你是否想使用geom_rect因为它会导致线条变粗（如果是这样，只需更改线宽），或者是否还有其他原因。我决定尝试一下geom_rect以启用闪避。我在 x 轴上绘制了开始日期，在 y 轴上绘制了开始和结束时间。为了实现这一点，我对数据的设置略有不同。如果您追求不同的东西，请尝试使其明确，但至少这里有另一个选择：
df<-data.frame(date,start,duration,event)
df <- transform(df,
start = as.POSIXct(paste(date, start)),
end = as.POSIXct(paste(date, start)) + duration*3600)
df <- df[c("event", "start", "end")]
df$date <- strptime(df$start, "%Y-%m-%d")
df$start.new <- format(df$start, format = "%H:%M:%S")
df$end.new <- format(df$end, format = "%H:%M:%S")
df$day <- factor(as.POSIXct(df$date))
levels(df$day) <- 1:4
df$day <- as.numeric(as.character(df$day))
df$event.int <- df$event
levels(df$event.int) <- 1:7
df$event.int <- as.numeric(as.character(df$event.int))
p <- ggplot(df, aes(day, start)) + geom_rect(aes(ymin = start, ymax = end,
xmin = (day - 0.45) + event.int/10,
xmax = (day - 0.35) + event.int/10,
fill = event)) +
scale_x_discrete(limits = 1:4,breaks = 1:4, labels = sort(unique(date)),
name = "Start date") + ylab("Duration")
