I have a data frame (02outcomes$transfusion_date) in which I have a series of dates that look like this:
2020-03-28 18:01:00
2020-03-28 22:16:00
2020-04-01 19:30:00
2020-04-01 23:56:00
I would like to assign unique IDs to each like this:
1 2020-03-28 18:01:00
2 2020-03-28 22:16:00
3 2020-04-01 19:30:00
4 2020-04-01 23:56:00
The values need to be in chronological order, ascending.
On a side note, when I view my data using the dput function it looks like this, is that problematic?:
1588635000, 1588706160, 1588714320, 1588721640, 1588881900
I found a thread that seems to be similar but cannot seem to make these solutions work: Create an ID (row number) column
Thanks in advance
arrange the data by transfusion_date
and then you can create a unique index for each row.
In base R, you can do :
outcomes <- outcomes[order(outcomes$transfusion_date), ]
outcomes$ID <- seq_len(nrow(outcomes))
Or using dplyr
:
library(dplyr)
outcomes %>% arrange(transfusion_date) %>% mutate(Id = row_number())