How can i filter rows by one condition (id) which are repeated in two days

i have a df, which containing 4 columns:

1. microbiological data (mo),
2. sample_date,
3. and patient id (pid_code),
4. id (for each rows).

Its looks like this:

i want to filter those rows where the pid_code and mo is same, and repeated in 2 days.

So i want to get back these rows.

Do you have something advise? Thanks

Here is a dplyr solution:

library(dplyr)
df %>% 
  filter(any(abs(difftime(sample_date, lag(sample_date), units = "days")) <= 2), .by=c(mo, pid_code))

              id          mo sample_date pid_code
1 Staphylococcus epidermidis  2019-12-13      120
2 Staphylococcus epidermidis  2019-12-14      120
6    Micrococcus      luteus  2023-06-06      133
7    Micrococcus      luteus  2023-06-07      133