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Put GHE Estimates in the Unified DSIR Schema

Source: R/ghe.R
ghe_clean.Rd

Converts ghe_data() output for bind_indicators(). A GHE cause is id, the selected measure is series, sex is dim1, and age is dim2. Use keep_dimensions = TRUE to retain named sex/age, cause hierarchy and unit, preventing information loss when combining multiple measures.

Usage

ghe_clean(df, keep_dimensions = FALSE)

Arguments

df

A data frame from ghe_data().

keep_dimensions

Append dim_sex, dim_age, cause_name, cause_group, cause_level, rankable, unit, and population? Default FALSE keeps the 15-column core.

Value

A tibble in the unified schema, with source = "ghe".

Examples

# \donttest{
ghe_data('PHL', year = 2023, age = 'TOTAL', sex = 'TOTAL', cause = 0,
         measure = 'deaths') |> ghe_clean(keep_dimensions = TRUE)
#> Fetching WHO: "DEX_CMS/REF_SEX_COD"
#> Fetching WHO: "DEX_CMS/GHE_FULL"
#> Fetching WHO: "DEX_CMS/REF_AGE_COD"
#> Fetching WHO: "DEX_CMS/GHE_FULL"
#> Fetching WHO: "DEX_CMS/GHE_FULL"
#> # A tibble: 1 × 23
#>   source id    indicator      location iso3  location_name  year value value_num
#>   <chr>  <chr> <chr>          <chr>    <chr> <chr>         <int> <chr>     <dbl>
#> 1 ghe    0     All Causes: d… PHL      PHL   Philippines    2023 6928…   692891.
#> # ℹ 14 more variables: low <dbl>, high <dbl>, series <chr>, dim1 <chr>,
#> #   dim2 <chr>, dim3 <chr>, dim_sex <chr>, dim_age <chr>, cause_name <chr>,
#> #   cause_group <chr>, cause_level <int>, rankable <lgl>, unit <chr>,
#> #   population <dbl>
# }