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() 函数的方式。 但是，我在尝试使用 add_stat() 函数时遇到错误。
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)
我希望如果有人能帮助我。
您正在寻找的内容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地找到您正在寻找的内容。我在下面创建了一个可重现的示例，我认为它至少可以让您接近您正在寻找的内容？
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)
