Extend a time series with additional dates. This is useful when extending the report dates of a time series to include future dates for nowcasting purposes or to include additional dates for backcasting when using a renewal process as the expectation model.
Usage
enw_extend_date(
metaobs,
days = 20,
direction = c("end", "start"),
timestep = "day"
)
Arguments
- metaobs
A
data.frame
with adate
column.- days
Number of days to add to the time series. Defaults to 20.
- direction
Should new dates be added at the beginning or end of the data. Default is "end" with "start" also available.
- timestep
The timestep to used. This can be a string ("day", "week", "month") or a numeric whole number representing the number of days.
Value
A data.table with the same columns as metaobs
but with
additional rows for each date in the range of date
to date + days
(or date - days
if direction = "start"
). An additional variable
observed is added with a value of FALSE for all new dates and TRUE
for all existing dates.
See also
Preprocessing functions
enw_add_delay()
,
enw_add_max_reported()
,
enw_add_metaobs_features()
,
enw_assign_group()
,
enw_complete_dates()
,
enw_construct_data()
,
enw_filter_delay()
,
enw_filter_reference_dates()
,
enw_filter_report_dates()
,
enw_flag_observed_observations()
,
enw_impute_na_observations()
,
enw_latest_data()
,
enw_metadata_delay()
,
enw_metadata()
,
enw_missing_reference()
,
enw_preprocess_data()
,
enw_reporting_triangle_to_long()
,
enw_reporting_triangle()
Examples
metaobs <- data.frame(date = as.Date("2021-01-01") + 0:4)
enw_extend_date(metaobs, days = 2)
#> Key: <.group, date>
#> date .group observed
#> <Date> <num> <lgcl>
#> 1: 2021-01-01 1 TRUE
#> 2: 2021-01-02 1 TRUE
#> 3: 2021-01-03 1 TRUE
#> 4: 2021-01-04 1 TRUE
#> 5: 2021-01-05 1 TRUE
#> 6: 2021-01-06 1 FALSE
#> 7: 2021-01-07 1 FALSE
enw_extend_date(metaobs, days = 2, direction = "start")
#> Key: <.group, date>
#> date .group observed
#> <Date> <num> <lgcl>
#> 1: 2020-12-30 1 FALSE
#> 2: 2020-12-31 1 FALSE
#> 3: 2021-01-01 1 TRUE
#> 4: 2021-01-02 1 TRUE
#> 5: 2021-01-03 1 TRUE
#> 6: 2021-01-04 1 TRUE
#> 7: 2021-01-05 1 TRUE