Parameter Logic: `beneficiary_enrollment()`

[andrewallenbruce]

provider::beneficiary_enrollment(year = 2021, month = "Year", level = "State", fips = "10")
#> # A tibble: 1 × 26
#>    year month level state state_name county fips  bene_total bene_orig
#>   <int> <chr> <chr> <chr> <chr>      <chr>  <chr>      <int>     <int>
#> 1  2021 Year  State DE    Delaware   Total  10        222814    171134
#> # ℹ 17 more variables: bene_ma_oth <int>, bene_aged_total <int>,
#> #   bene_aged_esrd <int>, bene_aged_no_esrd <int>, bene_dsb_total <int>,
#> #   bene_dsb_esrd_and_only_esrd <int>, bene_dsb_no_esrd <int>,
#> #   bene_ab_total <int>, bene_ab_orig <int>, bene_ab_ma_oth <int>,
#> #   bene_rx_total <int>, bene_rx_pdp <int>, bene_rx_mapd <int>,
#> #   bene_rx_elig <int>, bene_rx_full <int>, bene_rx_part <int>,
#> #   bene_rx_none <int>

^{Created on 2023-04-28 with reprex v2.0.2}

provider::beneficiary_enrollment(year = NULL, month = "Year", level = "County", state = "AL", county = "Autauga")
#> # A tibble: 10 × 26
#>     year month level  state state_name county  fips  bene_total bene_orig
#>    <int> <chr> <chr>  <chr> <chr>      <chr>   <chr>      <int>     <int>
#>  1  2013 Year  County AL    Alabama    Autauga 01001       9323      6484
#>  2  2014 Year  County AL    Alabama    Autauga 01001       9589      6565
#>  3  2015 Year  County AL    Alabama    Autauga 01001       9938      6711
#>  4  2016 Year  County AL    Alabama    Autauga 01001      10214      6799
#>  5  2017 Year  County AL    Alabama    Autauga 01001      10510      5784
#>  6  2018 Year  County AL    Alabama    Autauga 01001      10645      5700
#>  7  2019 Year  County AL    Alabama    Autauga 01001      11059      5761
#>  8  2020 Year  County AL    Alabama    Autauga 01001      11251      5596
#>  9  2021 Year  County AL    Alabama    Autauga 01001      11396      5338
#> 10  2022 Year  County AL    Alabama    Autauga 01001      11578      5186
#> # ℹ 17 more variables: bene_ma_oth <int>, bene_aged_total <int>,
#> #   bene_aged_esrd <int>, bene_aged_no_esrd <int>, bene_dsb_total <int>,
#> #   bene_dsb_esrd_and_only_esrd <int>, bene_dsb_no_esrd <int>,
#> #   bene_ab_total <int>, bene_ab_orig <int>, bene_ab_ma_oth <int>,
#> #   bene_rx_total <int>, bene_rx_pdp <int>, bene_rx_mapd <int>,
#> #   bene_rx_elig <int>, bene_rx_full <int>, bene_rx_part <int>,
#> #   bene_rx_none <int>

^{Created on 2023-04-28 with reprex v2.0.2}

provider::beneficiary_enrollment(year = 2021, level = "County", state = "GA", month = NULL)
#> Warning: There were 6 warnings in `dplyr::mutate()`.
#> The first warning was:
#> ℹ In argument: `dplyr::across(dplyr::contains("bene"), as.integer)`.
#> Caused by warning:
#> ! NAs introduced by coercion
#> ℹ Run `dplyr::last_dplyr_warnings()` to see the 5 remaining warnings.
#> # A tibble: 2,067 × 26
#>     year month level  state state_name county   fips  bene_total bene_orig
#>    <int> <chr> <chr>  <chr> <chr>      <chr>    <chr>      <int>     <int>
#>  1  2021 Year  County GA    Georgia    Appling  13001       3919      1919
#>  2  2021 Year  County GA    Georgia    Atkinson 13003       1376       648
#>  3  2021 Year  County GA    Georgia    Bacon    13005       2229      1216
#>  4  2021 Year  County GA    Georgia    Baker    13007        715       291
#>  5  2021 Year  County GA    Georgia    Baldwin  13009       9167      4041
#>  6  2021 Year  County GA    Georgia    Banks    13011       3735      1865
#>  7  2021 Year  County GA    Georgia    Barrow   13013      13950      7096
#>  8  2021 Year  County GA    Georgia    Bartow   13015      19436     10107
#>  9  2021 Year  County GA    Georgia    Ben Hill 13017       3830      1816
#> 10  2021 Year  County GA    Georgia    Berrien  13019       3813      2127
#> # ℹ 2,057 more rows
#> # ℹ 17 more variables: bene_ma_oth <int>, bene_aged_total <int>,
#> #   bene_aged_esrd <int>, bene_aged_no_esrd <int>, bene_dsb_total <int>,
#> #   bene_dsb_esrd_and_only_esrd <int>, bene_dsb_no_esrd <int>,
#> #   bene_ab_total <int>, bene_ab_orig <int>, bene_ab_ma_oth <int>,
#> #   bene_rx_total <int>, bene_rx_pdp <int>, bene_rx_mapd <int>,
#> #   bene_rx_elig <int>, bene_rx_full <int>, bene_rx_part <int>, …

^{Created on 2023-04-28 with reprex v2.0.2}