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  1. lm(DR1TKCAL ~ population + sex + age, data = combined.data)
  2.  
  3. diet_design <- svydesign(id = ~ SDMVPSU, strata = ~ SDMVSTRA, nest = TRUE, weight = ~ WTDRD1, data = diet_data)
  4.  
  5. svyby(~DR1TKCAL, ~sex, diet_design, svymean, na.rm=TRUE, keep.names=FALSE)
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