Attempts to expand the dataset to include more time
A time series is defined as a unique combination of:
granularity_time
granularity_geo
country_iso3
location_code
border
age
sex
*_id
*_tag
Arguments
- x
An object of type
csfmt_rts_data_v2- max_isoyear
Maximum isoyear to expand each isoyear time series up to.
- max_isoyearweek
Maximum isoyearweek to expand each isoyearweek time series up to.
- max_date
Maximum date to expand each daily time series up to.
- ...
Not used.
Examples
x <- cstidy::generate_test_data() %>%
cstidy::set_csfmt_rts_data_v2()
cstidy::expand_time_to(x, max_isoyearweek = "2022-10")
#> granularity_time granularity_geo country_iso3 location_code border age
#> <char> <char> <char> <char> <int> <char>
#> 1: isoyearweek county nor county_nor42 NA <NA>
#> 2: isoyearweek county nor county_nor42 NA <NA>
#> 3: isoyearweek county nor county_nor42 NA <NA>
#> 4: isoyearweek county nor county_nor42 NA <NA>
#> 5: isoyearweek county nor county_nor42 NA <NA>
#> ---
#> 356: isoyearweek county nor county_nor31 NA 000_005
#> 357: isoyearweek county nor county_nor31 NA 000_005
#> 358: isoyearweek county nor county_nor31 NA 000_005
#> 359: isoyearweek county nor county_nor31 NA 000_005
#> 360: isoyearweek county nor county_nor31 NA 000_005
#> sex isoyear isoweek isoyearweek isoquarter isoyearquarter season
#> <char> <int> <int> <char> <int> <char> <char>
#> 1: <NA> 2022 3 2022-03 1 2022-Q1 2021/2022
#> 2: <NA> 2022 4 2022-04 1 2022-Q1 2021/2022
#> 3: <NA> 2022 5 2022-05 1 2022-Q1 2021/2022
#> 4: <NA> 2022 6 2022-06 1 2022-Q1 2021/2022
#> 5: <NA> 2022 7 2022-07 1 2022-Q1 2021/2022
#> ---
#> 356: total 2022 6 2022-06 1 2022-Q1 2021/2022
#> 357: total 2022 7 2022-07 1 2022-Q1 2021/2022
#> 358: total 2022 8 2022-08 1 2022-Q1 2021/2022
#> 359: total 2022 9 2022-09 1 2022-Q1 2021/2022
#> 360: total 2022 10 2022-10 1 2022-Q1 2021/2022
#> seasonweek calyear calmonth calyearmonth date deaths_n
#> <num> <int> <int> <char> <Date> <int>
#> 1: 21 NA NA <NA> 2022-01-23 2
#> 2: 22 NA NA <NA> 2022-01-30 NA
#> 3: 23 NA NA <NA> 2022-02-06 NA
#> 4: 24 NA NA <NA> 2022-02-13 NA
#> 5: 25 NA NA <NA> 2022-02-20 NA
#> ---
#> 356: 24 NA NA <NA> 2022-02-13 NA
#> 357: 25 NA NA <NA> 2022-02-20 NA
#> 358: 26 NA NA <NA> 2022-02-27 NA
#> 359: 27 NA NA <NA> 2022-03-06 NA
#> 360: 28 NA NA <NA> 2022-03-13 NA
