get_intervention_timepoint.Rd
Get row number of aggregated data which is the isoweek and isoyear corresponding to the date given
get_intervention_timepoint(date, data_aggregated)
character in the format "yyyy-mm-dd"
data.frame, aggregated data with case counts
integer row number of data_aggregated where the isoweek and isoyear of the given date are
if (FALSE) {
data_agg <- input_example %>%
preprocess_data() %>%
aggregate_data() %>%
add_rows_missing_dates()
get_intervention_timepoint("2020-03-04", data_agg)
}