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Data herein was derived from population-based assessments in three locations (analysis unit). Each unit presents distinct scenarios that requires also-distinct handling during the prevalence analysis:

  • Unit A has flawless data.

  • Unit B has age-ratio-test results rated as problematic, with an observed proportion of children aged 24-59 months < 0.66.

  • UnitC has age-ratio-test results rated as problematic, with an observed proportion of children aged 24-59 months >= 0.66.

This sample data is useful to demonstrate designed behaviours of MUAC-prevalence functions to dealing with certain-and-expected flaws in the data.

Usage

anthro.04

Format

A tibble of 2,192 × 6.

VariableDescription
analysis_unitLocation wherein the assessment was conducted
clusterPrimary sampling unit
sexSex; "1" = boys, "2" = girls
ageCalculated age in months
muacMid-upper arm circumference in millimetres
oedemaoedema; "n" = no oedema, "y" = yes oedema

Source

Anonymous

Examples

anthro.04
#> # A tibble: 2,192 × 6
#>    analysis_unit cluster   sex   age  muac oedema
#>    <chr>           <dbl> <dbl> <dbl> <dbl> <chr> 
#>  1 Unit C              8     2    50   138 n     
#>  2 Unit C              8     2    26   123 n     
#>  3 Unit C              8     2    38   131 n     
#>  4 Unit C              8     2    12   110 n     
#>  5 Unit C              8     2    36   140 n     
#>  6 Unit C              9     2    53   160 n     
#>  7 Unit C              9     1    28   125 n     
#>  8 Unit C              9     2    59   140 n     
#>  9 Unit C              9     1    29   110 n     
#> 10 Unit C              9     2    46   130 n     
#> # ℹ 2,182 more rows