我有一个数据框,其中包含多种类型事件的日期.
df <- data.frame(date=as.Date(c("06/07/2000","15/09/2000","15/10/2000"
,"03/01/2001","17/03/2001","23/04/2001",
"26/05/2001","01/06/2001",
"30/06/2001","02/07/2001","15/07/2001"
,"21/12/2001"), "%d/%m/%Y"),
event_type=c(0,4,1,2,4,1,0,2,3,3,4,3))
date event_type
---------------- ----------
1 2000-07-06 0
2 2000-09-15 4
3 2000-10-15 1
4 2001-01-03 2
5 2001-03-17 4
6 2001-04-23 1
7 2001-05-26 0
8 2001-06-01 2
9 2001-06-30 3
10 2001-07-02 3
11 2001-07-15 4
12 2001-12-21 3
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我试图计算每个事件类型之间的天数,所以输出如下所示:
date event_type days_since_last_event
---------------- ---------- ---------------------
1 2000-07-06 0 NA
2 2000-09-15 4 NA
3 2000-10-15 1 NA
4 2001-01-03 2 NA
5 2001-03-17 4 183
6 2001-04-23 1 …Run Code Online (Sandbox Code Playgroud) 我有一个包含多个主题(id)的数据框,重复观察(有时记录time).每个时间可以或可以不与事件(event)相关联.可以使用以下命令生成示例数据框:
set.seed(12345)
id <- c(rep(1, 9), rep(2, 9), rep(3, 9))
time <- c(seq(from = 0, to = 96, by = 12),
seq(from = 0, to = 80, by = 10),
seq(from = 0, to = 112, by = 14))
random <- runif(n = 27)
event <- rep(100, 27)
df <- data.frame(cbind(id, time, event, random))
df$event <- ifelse(df$random < 0.55, 0, df$event)
df <- subset(df, select = -c(random))
df$event <- ifelse(df$time == 0, 100, df$event) …Run Code Online (Sandbox Code Playgroud)