Installing the Package

# install.packages("remotes")# Install the development versionremotes::install_github("jjchern/melig")# Install the released versionremotes::install_github("jjchern/melig@v0.1.0")# To uninstall the package, use:# remove.packages("melig")

Useful Links

Usage

Long and Wide Formats

library(tidyverse)library(formattable)# List all available datasetsdata(package="melig") %>%     pluck("results") %>%     as_tibble() %>%     select(Package,Item)#> # A tibble: 4 × 2#>   Package Item#>   <chr>   <chr>#> 1 melig   childless_adults#> 2 melig   children#> 3 melig   parents#> 4 melig   pregnant_women# The datasets are in long formatmelig::parents#> # A tibble: 1,092 × 6#>    state                fips  usps  month    year cutoff#>    <chr>                <chr> <chr> <chr>   <int>  <dbl>#>  1 United States        <NA>  <NA>  January  2002     68#>  2 Alabama              01    AL    January  2002     21#>  3 Alaska               02    AK    January  2002     79#>  4 Arizona              04    AZ    January  2002    107#>  5 Arkansas             05    AR    January  2002     21#>  6 California           06    CA    January  2002    107#>  7 Colorado             08    CO    January  2002     42#>  8 Connecticut          09    CT    January  2002    157#>  9 Delaware             10    DE    January  2002    122#> 10 District of Columbia 11    DC    January  2002    200#> # ℹ 1,082 more rows# But you can always convert them back to the original wide formatmelig::parents %>%   unite_("monyear", c("month","year"),sep="") %>%   spread(monyear,cutoff)#> # A tibble: 52 × 24#>    state  fips  usps  `April 2003` `December 2009` `January 2002` `January 2008`#>    <chr>  <chr> <chr>        <dbl>           <dbl>          <dbl>          <dbl>#>  1 Alaba… 01    AL              20              24             21             26#>  2 Alaska 02    AK              81              81             79             81#>  3 Arizo… 04    AZ             200             106            107            200#>  4 Arkan… 05    AR              20              17             21             18#>  5 Calif… 06    CA             107             106            107            106#>  6 Color… 08    CO              47              66             42             66#>  7 Conne… 09    CT             107             191            157            191#>  8 Delaw… 10    DE             120             121            122            106#>  9 Distr… 11    DC             200             207            200            207#> 10 Flori… 12    FL              63              53             66             56#> # ℹ 42 more rows#> # ℹ 17 more variables: `January 2009` <dbl>, `January 2011` <dbl>,#> #   `January 2012` <dbl>, `January 2013` <dbl>, `January 2014` <dbl>,#> #   `January 2015` <dbl>, `January 2016` <dbl>, `January 2017` <dbl>,#> #   `January 2018` <dbl>, `January 2019` <dbl>, `January 2020` <dbl>,#> #   `January 2021` <dbl>, `January 2022` <dbl>, `January 2023` <dbl>,#> #   `July 2004` <dbl>, `July 2005` <dbl>, `July 2006` <dbl>

Save as Other Data Formats

# save as Stata formathaven::write_dta(melig::parents,"pa0218.dta")# orrio::export(melig::parents,"pa0218.dta")

Explore the Vignette

vignette("medicaid-income-eligibility-cutoffs-overview")