使用(gtsummary)tbl_svysummaary 函数显示survey.design 对象的置信区间?

问题描述

我正在使用 tbl_svysummary() 函数从 {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() 函数时遇到错误.

I am using the tbl_svysummary() function for producing summary statistics tables from survey.design objects created by the {survey} package. The way one would go about it using the add_stat() function.However, I am facing an error when trying to use the add_stat() function.

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)

希望有人能帮帮我.

推荐答案

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内容为了.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内容?

An example table of what you're looking for along with code that I can run on my machine would have been helpful to get you exactly what you're looking for. I've created a reproducible example below that I think gets you at least close to what you're looking for?

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)

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