ceb_eval | R Documentation |
Construct estimates of mean CEB in the reference period of childbearing (mean age of childbearing)
ceb_eval(
date_svy,
ages_w,
pop_w = NULL,
ceb = NULL,
mean_ceb = NULL,
mac = 28,
location_mac = NULL,
plot_ceb = TRUE
)
date_svy |
survey or census date in the format Y-m-d or string in the formats Y, Y-m, Y-m-d |
ages_w |
women five-year age group starting-ages vector |
pop_w |
total women matching ages in ages_w |
ceb |
total children ever born by women age group |
mean_ceb |
mean children ever born by women age group |
mac |
mean age at childbearing matching ages in age_w or unique value for all ages, default = 28 |
location_mac |
retrieve MAC from a given location id or name from WPP2019 |
plot_ceb |
dummy variable to return the plot for mean CEB results |
data.frame with 2 vectors: reference date of mean children ever born (decimal) and mean children ever born
## Kenya 1989 census
date_svy <- "1989-08-25"
ages_w <- seq( 40, 75, 5 )
pop_w <- c( 350140, 280920, 230080, 173260, 158140, 111360, 82080, 54220 )
ceb <- c( 2532140, 2151920, 1736540, 1314140, 1143740, 816820, 560520, 371060 )
ceb_eval( date_svy, ages_w, pop_w, ceb, mac = 28, plot_ceb = TRUE )
# Using mac retrieved from WPP2019
ceb_eval( date_svy, ages_w, pop_w, ceb, location_mac = 'Kenya', plot_ceb = TRUE )
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