在R中使用dplyr按月创建季节变量

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问题描述

我有一个数据集，该数据集包含一个名为month的变量，每个月作为一个字符。 dplyr是否有办法组合几个月来创建季节变量？我尝试了以下操作，但遇到了错误：

I have a dataset that has a variable called month, which each month as a character. Is there a way with dplyr to combine some months to create a season variable? I have tried the following but got an error:

data %>%
  mutate(season = ifelse(month[1:3], "Winter", ifelse(month[4:6], "Spring",
                     ifelse(month[7:9], "Summer",
                            ifelse(month[10:12], "Fall", NA)))))

有错误：

Error in mutate_impl(.data, dots) : Column `season` must be length 100798 (the number of rows) or one, not 3

我是R的新手，所以非常感谢！

I am new to R so any help is much appreciated!

推荐答案

正确的语法应为

data %>% mutate(season = ifelse(month %in% 10:12, "Fall",
                               ifelse(month %in% 1:3, "Winter",
                                      ifelse(month %in% 4:6, "Spring",
                                             "Summer"))))

修改：可能是完成工作的更好方法

Edit: probably a better way to get the job done

temp_data %>%
  mutate(
    season = case_when(
      month %in% 10:12 ~ "Fall",
      month %in%  1:3  ~ "Winter",
      month %in%  4:6  ~ "Spring",
      TRUE ~ "Summer"))

气象季节

temp_data %>%
  mutate(
    season = case_when(
      month %in%  9:11 ~ "Fall",
      month %in%  c(12, 1, 2)  ~ "Winter",
      month %in%  3:5  ~ "Spring",
      TRUE ~ "Summer"))

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