anthro.03 contains survey data of four districts. Each district dataset
presents distinct data quality scenarios that require a specific prevalence
analysis approach. Data from two districts have a problematic WFHZ standard
deviation. The data from the remaining two districts are all within range.
This sample data is useful to demonstrate the use of the prevalence functions on a multiple-domain survey data where there can be variations in the rating of acceptability of the standard deviation, hence requiring different analytical approach for each survey domain to ensure accurate estimation.
Format
A tibble of 943 x 9.
| Variable | Description |
| district | Survey location |
| cluster | Primary sampling unit |
| team | Survey teams |
| sex | Sex; "m" = boys, "f" = girls |
| age | Calculated age in months with two decimal places |
| weight | Weight in kilograms |
| height | Height in centimetres |
| oedema | oedema; "n" = no oedema, "y" = with oedema |
| muac | Mid-upper arm circumference in millimetres |
Examples
anthro.03
#> # A tibble: 943 × 9
#> district cluster team sex age weight height oedema muac
#> <chr> <int> <int> <chr> <dbl> <dbl> <dbl> <chr> <int>
#> 1 Metuge 2 2 m 9.99 10.1 69.3 n 172
#> 2 Metuge 2 2 f 43.6 10.9 91.5 n 130
#> 3 Metuge 2 2 f 32.8 11.4 91.4 n 153
#> 4 Metuge 2 2 f 7.62 8.3 69.5 n 133
#> 5 Metuge 2 2 m 28.4 10.7 82.3 n 143
#> 6 Metuge 2 2 f 12.3 6.6 69.4 n 121
#> 7 Metuge 2 2 f 32.0 11.1 85.2 n 148
#> 8 Metuge 2 2 m 34.9 12.6 86.5 n 156
#> 9 Metuge 3 3 m 9.07 8.3 71.4 n 145
#> 10 Metuge 3 3 m 45.5 11.5 85.7 n 145
#> # ℹ 933 more rows