使用skimr处理REDCap导出数据时出现vctrs属性不兼容错误

使用skimr包的skim()函数探索REDCap导出的数据时，触发以下错误：

Error in `dplyr::summarize()`:
! Problem while computing `skimmed = purrr::map2(...)`.
ℹ The error occurred in group 4: skim_type = "numeric".
Caused by error:
! Can't combine `..1$numeric.p0` <labelled> and `..2$numeric.p0` <labelled>.
✖ Some attributes are incompatible.
ℹ The author of the class should implement vctrs methods.
ℹ See <https://vctrs.r-lib.org/reference/faq-error-incompatible-attributes.html>.
Backtrace:
  1. skimr::skim(e2)
 10. purrr::map2(...)
 12. skimr:::skim_by_type.data.frame(.x[[1L]], .y[[1L]], ...)
 13. skimr:::build_results(skimmed, variable_names, NULL)
 15. tidyr:::unnest.data.frame(out, .data$by_variable)
     ...
 19. vctrs (local) `<fn>`()
 20. vctrs::vec_default_ptype2(...)
 21. vctrs::stop_incompatible_type(...)
 22. vctrs:::stop_incompatible(...)
 23. vctrs:::stop_vctrs(...)
 Error in dplyr::summarize(grouped, skimmed = purrr::map2(.data$skimmers, : 

ℹ The error occurred in group 4: skim_type = "numeric".
Caused by error:
! Can't combine `..1$numeric.p0` <labelled> and `..2$numeric.p0` <labelled>.
✖ Some attributes are incompatible.
ℹ The author of the class should implement vctrs methods.
ℹ See <https://vctrs.r-lib.org/reference/faq-error-incompatible-attributes.html>.

REDCap导出的数据会给变量附加labelled类型属性（如变量标签、编码说明），skimr汇总时，vctrs包无法合并属性不兼容的labelled对象，导致报错。

• 移除所有变量标签：用haven::zap_labels()移除标签属性，转换为基础数据类型后再执行skim：

  library(haven)
  library(skimr)
  
  # 移除数据中所有变量的标签
  data_cleaned <- zap_labels(your_redcap_data)
  # 执行探索性分析
  skim(data_cleaned)
  

• 仅转换数值型变量：针对报错的数值型变量单独转换类型，保留其他变量的标签：

  library(dplyr)
  library(skimr)
  
  your_redcap_data <- your_redcap_data %>%
    mutate(across(where(is.numeric), as.numeric))
  skim(your_redcap_data)
  

• 更新依赖包：确保skimr、dplyr、vctrs和haven为最新版本，新版本可能修复了兼容性问题：

  update.packages(c("skimr", "dplyr", "vctrs", "haven"))
  

内容的提问来源于stack exchange，提问作者Yue Pan