Create older people indicators dataframe from survey data collected using the standard RAM-OP questionnaire.

Create older people indicators dataframe from survey data collected using the standard RAM-OP questionnaire.

Usage

create_op_all(
  svy,
  indicators = c("demo", "food", "hunger", "disability", "adl", "mental", "dementia",
    "health", "income", "wash", "anthro", "oedema", "screening", "visual", "misc"),
  gender = c("m", "f")
)

Arguments

svy

A dataframe collected using the standard RAM-OP questionnaire

indicators

A character vector of indicator names

gender

Either an "m" for male or "f" for female; Whether to report indicators for males or females. If unspecified (default), both are reported.

Value

A tibble of older people indicators

Examples

create_op_all(svy = testSVY)
#> # A tibble: 192 × 138
#>      psu  sex1  sex2 resp1 resp2 resp3 resp4   age ageGrp1 ageGrp2 ageGrp3
#>    <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <int>   <dbl>   <dbl>   <dbl>
#>  1   201     0     1     1     0     0     0    67       0       1       0
#>  2   201     1     0     1     0     0     0    74       0       0       1
#>  3   201     1     0     1     0     0     0    60       0       1       0
#>  4   201     0     1     1     0     0     0    60       0       1       0
#>  5   201     0     1     1     0     0     0    85       0       0       0
#>  6   201     1     0     0     1     0     0    86       0       0       0
#>  7   201     1     0     1     0     0     0    80       0       0       0
#>  8   201     0     1     1     0     0     0    60       0       1       0
#>  9   201     1     0     1     0     0     0    62       0       1       0
#> 10   201     0     1     1     0     0     0    72       0       0       1
#> # ℹ 182 more rows
#> # ℹ 127 more variables: ageGrp4 <dbl>, ageGrp5 <dbl>, marital1 <dbl>,
#> #   marital2 <dbl>, marital3 <dbl>, marital4 <dbl>, marital5 <dbl>,
#> #   marital6 <dbl>, alone <dbl>, MF <dbl>, DDS <dbl>, FG01 <dbl>, FG02 <dbl>,
#> #   FG03 <dbl>, FG04 <dbl>, FG05 <dbl>, FG06 <dbl>, FG07 <dbl>, FG08 <dbl>,
#> #   FG09 <dbl>, FG10 <dbl>, FG11 <dbl>, proteinRich <dbl>, pProtein <dbl>,
#> #   aProtein <dbl>, pVitA <dbl>, aVitA <dbl>, xVitA <dbl>, ironRich <dbl>, …