如何在R语言中将国家列表分组到对应大洲？

你的代码无法运行是因为存在几处语法和用法错误，以下是问题点和修正方案：

核心错误点 #

• 管道符使用错误：df:group_by 应为 df %>% group_by，这是dplyr包的标准管道语法
• 缺少依赖包加载：fct_collapse 是forcats包的函数，需先加载包含它的tidyverse，或单独加载dplyr+forcats
• group_by用法有误：直接在group_by内定义新列的写法不符合语法规范，需先创建大洲分组列再分组，或调整写法

修正后的代码 #

先加载所需依赖包：

# 安装（首次运行时）并加载包含dplyr和forcats的tidyverse包
# install.packages("tidyverse")
library(tidyverse)

# 读取数据
df <- read.csv("~/Datasampling/02/datos_pwt10_continents.csv")

# 方案1：先创建独立的大洲列，再按该列分组
tfr_recoded <- df %>%
  mutate(Continent = fct_collapse(Country,
    "Europe" = c("Italy", "Spain", "Portugal", "Estonia","Denmark","Iceland","Finland","Norway","Sweden", "Bulgaria", "Belarus", "Poland", "Lithuania", "Hungary", "Ukraine", "Germany","United Kingdom", "France", "Switzerland", "Austria","Netherlands","Czechia", "Slovenia", "Slovakia", "Croatia"),
    "Asia" = c("Taiwan", "Republic of Korea", "Japan"),
    "America" = c("USA", "Chile", "Canada")
  )) %>%
  group_by(Continent)

如果不需要保留单独的大洲列，也可以直接在group_by内生成分组：

tfr_recoded <- df %>%
  group_by(Continent = fct_collapse(Country,
    "Europe" = c("Italy", "Spain", "Portugal", "Estonia","Denmark","Iceland","Finland","Norway","Sweden", "Bulgaria", "Belarus", "Poland", "Lithuania", "Hungary", "Ukraine", "Germany","United Kingdom", "France", "Switzerland", "Austria","Netherlands","Czechia", "Slovenia", "Slovakia", "Croatia"),
    "Asia" = c("Taiwan", "Republic of Korea", "Japan"),
    "America" = c("USA", "Chile", "Canada")
  ))

补充提示 #

• 请确保数据中的国家名称和代码里的完全匹配（包括大小写、空格），否则不匹配的国家会被标记为NA
• 若分组后需要进行汇总操作，可继续用管道符添加summarise()等函数

内容的提问来源于stack exchange，提问作者Ramona