I have quite a simple dataset:

```
ID Value Time
1 censored 1
1 censored 2
1 uncensored 3
1 uncensored 4
1 censored 5
1 censored 6
2 censored 1
2 uncensored 2
2 uncensored 3
2 uncensored 4
2 censored 5
```

I want to keep the first `uncensored`

occurrence, and I want to keep the first `censored`

occurrence after an `uncensored`

one. for example:

```
ID Value Time
1 uncensored 3
1 censored 5
2 uncensored 2
2 censored 5
```

Not everyone has their first censored date at time 5, that was just for an example.

`Value`

is a binary variable: 1 for censored, and 0 for uncensored, but I've labelled them.

Answer:

Here's another possible `data.table`

solution

```
library(data.table)
setDT(df1)[, list(Value = c("uncensored", "censored"),
Time = c(Time[match("uncensored", Value)],
Time[(.N - match("uncensored", rev(Value))) + 2L])),
by = ID]
# ID Value Time
# 1: 1 uncensored 3
# 2: 1 censored 5
# 3: 2 uncensored 2
# 4: 2 censored 5
```

Or similarly, using `which`

instead of `match`

```
setDT(df1)[, list(Value = c("uncensored", "censored"),
Time = c(Time[which(Value == "uncensored")[1L]],
Time[(.N - which(rev(Value) == "uncensored")[1L]) + 2L])),
by = ID]
```

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