I have a data frame with a time column (POSIXct format in yyyy-mm-dd HH:MM:SS) and a status column (character format). For simple representation, let's assume, the status column has modes a,b, and c.
I need to change the mode of the 'status' column based on the following condition;
- if a particular mode (for eg: b) appears for more than 5 sec, then keep the mode as 'b',
- if more 'b' appears for less than 5 sec, roll back the current mode ('b') to its previous mode.
In my dataset, I need to apply the above condition for 30 sec, but for simple representation of the problem, I mentioned here the status change threshold as 5 sec.
Example Dataset:
| Time (POSIXct) | Status (Character) |
|---|---|
| 2022-12-01 00:00:00 | a |
| 2022-12-01 00:00:01 | a |
| 2022-12-01 00:00:02 | b |
| 2022-12-01 00:00:03 | b |
| 2022-12-01 00:00:04 | b |
| 2022-12-01 00:00:05 | b |
| 2022-12-01 00:00:06 | b |
| 2022-12-01 00:00:07 | c |
| 2022-12-01 00:00:08 | c |
| 2022-12-01 00:00:09 | b |
| 2022-12-01 00:00:10 | b |
| 2022-12-01 00:00:11 | a |
| 2022-12-01 00:00:12 | a |
| 2022-12-01 00:00:13 | a |
Desired output:
| Time (POSIXct) | Status (Character) |
|---|---|
| 2022-12-01 00:00:00 | a |
| 2022-12-01 00:00:01 | a |
| 2022-12-01 00:00:02 | b |
| 2022-12-01 00:00:03 | b |
| 2022-12-01 00:00:04 | b |
| 2022-12-01 00:00:05 | b |
| 2022-12-01 00:00:06 | b |
| 2022-12-01 00:00:07 | c |
| 2022-12-01 00:00:08 | c |
| 2022-12-01 00:00:09 | c |
| 2022-12-01 00:00:10 | c |
| 2022-12-01 00:00:11 | a |
| 2022-12-01 00:00:12 | a |
| 2022-12-01 00:00:13 | a |
I am not sure how I can proceed with changing the status based on the time column. Previously, I had to change the status, just based on the previous row mode and I used 'rle' and 'ifelse' conditions.
Thanks for your help.
