| add_tercile_cat | R Documentation | 
Given a data table with multiple years of data, this function derives the tercile category per year. It first derives terciles for the data and then returns, for each row, a -1 if the data falls into the lowest tercile, 0 if it falls between 1st and second tercile, and +1 if it falls above the third tercile. Allows grouping by levels (e.g. months and location-coordinates): Tercile categories are derived separately for each level.
add_tercile_cat(
  dt,
  datacol = NULL,
  years = NULL,
  by = setdiff(dimvars(dt), c("year", "member"))
)
| dt | the data table. | 
| datacol | Name of the column where the data is stored. If NULL, the function guesses. | 
| years | Optional, if provided only these years are used for establishing climatology terciles. | 
| by | names of columns to group by. | 
The provided data table with an extra column tercile_cat
dt = add_tercile_cat(chirps_monthly)
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