使用 R tidyverse 保存并导出到 Stata [关闭]答案

【问题标题】：Save and Export into Stata using R tidyverse [closed]使用 R tidyverse 保存并导出到 Stata [关闭]
【发布时间】：2021-01-27 23:32:49
【问题描述】：

我有下面的代码，我将数据集作为Stata文件导入

library(haven)
> LMI_MENA <- read_dta("Impact on Employment/LMI_MENA.dta")

然后进行下面的数据整理：

LMI_MENA %>%
  pivot_longer(fem_unemployment:male_emp, names_to = "names", values_to = "values") %>%
  mutate(Gender = case_when(
    str_detect(names, "fem") ~ "Female",
    str_detect(names, "male") ~ "Male",
    TRUE ~ "Total"
  )) %>%
  mutate(names = case_when(
    names %in% c("fem_unemployment", "male_unemployment", "urate") ~ "Unemployment",
    names %in% c("lfprate", "female_lfp", "male_lfp") ~ "LaborForceParticipation",
    names %in% c("fem_emp", "male_emp") ~ "Employment"
  )) %>%
  pivot_wider(names_from = "names", values_from = "values")

我尝试保存编辑后的数据集并将其直接导出到Stata

DF <- data.frame
      write.dta(LMI_MENA, file="LMI_MENA_long.dta")

但是，虽然它正确导出，但它不会显示从上面的数据争吵中新创建的变量。保存然后导出到 Stata、csv 等的最佳方法是什么？

【问题讨论】：

标签： r tidyverse data-manipulation

【解决方案1】：

如果您提供一个可重现的示例，将会有所帮助。看来您刚刚将原始 Stata 文件保存回 Stata，因为您没有将具有新变量的数据集分配给 R 对象。

在代码的第一行LMI_MENA %>% 之前，添加LMI_MENA <- LMI_MENA %>%。

LMI_MENA <- LMI_MENA %>%
  pivot_longer(fem_unemployment:male_emp, names_to = "names", values_to = "values") %>%
  mutate(Gender = case_when(
    str_detect(names, "fem") ~ "Female",
    str_detect(names, "male") ~ "Male",
    TRUE ~ "Total"
  )) %>%
  mutate(names = case_when(
    names %in% c("fem_unemployment", "male_unemployment", "urate") ~ "Unemployment",
    names %in% c("lfprate", "female_lfp", "male_lfp") ~ "LaborForceParticipation",
    names %in% c("fem_emp", "male_emp") ~ "Employment"
  )) %>%
  pivot_wider(names_from = "names", values_from = "values")

【讨论】：