Create older people indicators dataframe for demography and situation from survey data collected using the standard RAM-OP questionnaire

Usage

create_op_demo(svy)

Arguments

svy: A dataframe collected using the standard RAM-OP questionnaire

Value

A dataframe of older people indicators on demography and situation

Demography and situation

psu: Primary sampling unit
resp1: Respondent is SUBJECT
resp2: Respondent is FAMILY CARER
resp3: Respondent is OTHER CARER
resp4: Respondent is OTHER
age: Age of respondent (years)
ageGrp1: Age of respondent is between 50 and 59 years
ageGrp2: Age of respondent is between 60 and 69 years
ageGrp3: Age of respondent is between 70 and 79 years
ageGrp4: Age of respondent is between 80 and 89 years
ageGrp5: Age of respondent is between 90 years and older
sex1: Male
sex2: Female
marital1: Marital status = SINGLE
marital2: Marital status = MARRIED
marital3: Marital status = LIVING TOGETHER
marital4: Marital status = DIVORCED
marital5: Marital status = SEPARATED
marital6: Marital status = OTHER
alone: Respondent lives alone

Author

Mark Myatt

Examples


# Create demography and situation indicators dataset from RAM-OP survey data
# collected from Addis Ababa, Ethiopia
create_op_demo(testSVY)
#> # A tibble: 192 × 20
#>      psu resp1 resp2 resp3 resp4   age ageGrp1 ageGrp2 ageGrp3 ageGrp4 ageGrp5
#>    <int> <dbl> <dbl> <dbl> <dbl> <int>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>
#>  1   201     1     0     0     0    67       0       1       0       0       0
#>  2   201     1     0     0     0    74       0       0       1       0       0
#>  3   201     1     0     0     0    60       0       1       0       0       0
#>  4   201     1     0     0     0    60       0       1       0       0       0
#>  5   201     1     0     0     0    85       0       0       0       1       0
#>  6   201     0     1     0     0    86       0       0       0       1       0
#>  7   201     1     0     0     0    80       0       0       0       1       0
#>  8   201     1     0     0     0    60       0       1       0       0       0
#>  9   201     1     0     0     0    62       0       1       0       0       0
#> 10   201     1     0     0     0    72       0       0       1       0       0
#> # ℹ 182 more rows
#> # ℹ 9 more variables: sex1 <dbl>, sex2 <dbl>, marital1 <dbl>, marital2 <dbl>,
#> #   marital3 <dbl>, marital4 <dbl>, marital5 <dbl>, marital6 <dbl>, alone <dbl>