r - 使用（gtsummary）tbl_svysummaary 函数来显示survey.design 对象的置信区间？

Question

我正在使用 tbl_svysummary() 函数从由 {survey} 包创建的survey.design 对象生成汇总统计表。使用 add_stat() 函数的方法。但是，我在尝试使用 add_stat() 函数时遇到了错误。

ci <- function(vv1, vv2, dsgn) {
  svyby( as.formula( paste0( "~" , vv1)) , by = as.formula( paste0( "~" , vv2)), DHSdesign, svyciprop, vartype="ci")
}

tbl_svysummary_ex2 <-
  survey::svydesign(id= folate$EA_ID, strata=NULL,
                    weights = folate$weight,
                    data = folate) %>%
  tbl_svysummary(by = "folate_deficiency",
                 percent = "row", include = c(folate_deficiency,
                                              age_group,Region_Name, serum_folate,rbc_folate)) %>% 
 add_stat(
    fns = everything() ~ "Ci",
    location = "level",
    header = "**95% CI**"
  ) %>%
  modify_footnote(everything() ~ NA)

我希望有人能帮助我。

标签： rsurveygtsummary

Answer 1

您正在寻找的示例表以及我可以在我的机器上运行的代码将有助于您准确找到您正在寻找的东西。我在下面创建了一个可重复的示例，我认为它至少可以让您接近您正在寻找的东西？

library(gtsummary)
library(survey)

svy_trial <-
  svydesign(~1, data = trial %>% select(trt, response, death), weights = ~1) 

ci <- function(variable, by, data, ...) {
  svyby(as.formula( paste0( "~" , variable)) , by = as.formula( paste0( "~" , by)), data, svyciprop, vartype="ci") %>%
    tibble::as_tibble() %>%
    dplyr::mutate_at(vars(ci_l, ci_u), ~style_number(., scale = 100) %>% paste0("%")) %>%
    dplyr::mutate(ci = stringr::str_glue("{ci_l}, {ci_u}")) %>%
    dplyr::select(all_of(c(by, "ci"))) %>%
    tidyr::pivot_wider(names_from = all_of(by), values_from = ci) %>%
    set_names(paste0("add_stat_", seq_len(ncol(.))))
}

ci("response", "trt", svy_trial)
#> # A tibble: 1 x 2
#>   add_stat_1 add_stat_2
#>   <glue>     <glue>    
#> 1 21%, 40%   25%, 44%  

svy_trial %>%
  tbl_svysummary(by = "trt", missing = "no") %>%
  add_stat(everything() ~ "ci") %>%
  modify_table_body(
    dplyr::relocate, add_stat_1, .after = stat_1
  ) %>%
  modify_header(starts_with("add_stat_") ~ "**95% CI**") %>%
  modify_footnote(everything() ~ NA)