Sample dataset from villages selected from full list via probability proportional to population size

A tibble with 407 rows and 11 columns:

sample_data

Format

An object of class tbl_df (inherits from tbl, data.frame) with 407 rows and 11 columns.

Details

Variable	Description
surveydate	Date of survey
psu	Primary sampling unit identifier
sex	Sex of child
birthdate	Date of birth of child
age	Age of child in months
weight	Weight of child in kilograms
height	height of child in centimetres
oedema	Does the child have oedema? 0 = FALSE; 1 = TRUE
muac	Mid-upper arm circumference in millimetres
measure	Was the child's height or length measured? l = length; h = height
*clothes(	Was the child wearing clothes when measured? y = TRUE; n = FALSE)

Examples

sample_data
#> # A tibble: 407 × 11
#>    surveydate   psu   sex birthdate    age weight height oedema  muac measure
#>    <date>     <int> <int> <date>     <int>  <dbl>  <dbl>  <int> <int> <chr>  
#>  1 2020-12-16    18     2 NA             6    6.9   65        0   144 l      
#>  2 2020-12-16    16     1 2020-05-22     6    7.8   65.6      0   140 l      
#>  3 2020-12-19    13     2 2020-05-26     6    5.2   62.6      0   131 l      
#>  4 2020-12-19     3     2 2020-06-19     6    7     69.1      0   133 l      
#>  5 2020-12-19    15     2 2020-06-13     6    5.4   62.4      0   127 l      
#>  6 2020-12-20    14     1 NA             6    7.1   66.3      0   152 l      
#>  7 2020-12-20     9     1 2020-05-23     6    7.1   65.5      0   123 l      
#>  8 2020-12-23    30     2 NA             6    8.5   63.2      0   168 l      
#>  9 2020-12-23    24     1 2020-06-04     6    8.5   68.6      0   161 l      
#> 10 2020-12-18     4     2 2020-05-03     7    7.5   68.2      0   148 l      
#> # … with 397 more rows, and 1 more variable: clothes <chr>

#' @source Data from a SMART survey conducted in Cameroon in 2020