Time difference between rows in R dplyr, different units

Question

Here is my example. I am reading the following file: sample_data

library(dplyr)

txt <- c(\'\"\",  \"MDN\",                  \"Cl_Date\"\',
          \'\"         


        

Answer 1

ts <- ts %>% group_by(MDN) %>% arrange(Cl_Date) %>%
  mutate(time_diff_2 = as.numeric(Cl_Date-lag(Cl_Date), units = 'mins'))

Convert the time difference to a numeric value. You can use units argument to make the return values consistent.

Answer 2

According to @hadley here, the solution is to use lubridate instead of relying on base R.

This would be something like:

ts %>% 
  group_by(MDN) %>% 
  arrange(Cl_Date) %>%
  mutate(as.duration(Cl_Date %--% lag(Cl_Date)))