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Beyond that, survey data can be incorporated with the help of srvyr. Note that while it will show the weighted counts, it will not show the confidence intervals as that highly depends on the appropriate choice of CI estimator. This is meant as more of quick visualization tool for EDA.
library(srvyr, warn.conflicts = FALSE) data(api, package = "survey") dstrata <- apistrat %>% mutate(apicat = cut(api00, pretty(api00), include.lowest = TRUE, right = TRUE)) %>% as_survey_design(strata = stype, weights = pw) age_pyramid(dstrata, apicat, split_by = stype) theme_set(old_theme)
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