按R中的不同列值求和，忽略重复值

我希望计算一个和，忽略分类列中的重复值。以以下数据为例，受问题启发：

---

在获得

总和之前，我们可以使用
unique
进行包装

library(dplyr)
other_shop %>%
    group_by(shop_id, shop_name) %>%
    mutate(shop_total_sale_goal = sum(unique(city_sale_goal), na.rm = TRUE), 
           shop_profit = sum(profit, na.rm = TRUE)) %>%
    ungroup

-输出

# A tibble: 6 x 7
#  shop_id shop_name city    city_sale_goal profit shop_total_sale_goal shop_profit
#    <dbl> <chr>     <chr>            <dbl>  <dbl>                <dbl>       <dbl>
#1       1 Shop A    London              12      3                   21           7
#2       1 Shop A    London              12      1                   21           7
#3       1 Shop A    Paris                9      3                   21           7
#4       2 Shop B    Cardiff             15      6                   15           6
#5       3 Shop C    Dublin              10      5                   10          14
#6       3 Shop C    Dublin              10      9                   10          14

#一个tible:6 x 7
#店铺名称城市销售目标利润店铺总额销售目标店铺利润
#                                               
#1 1 A店伦敦12 3 21 7
#2 1伦敦A店12 1 21 7
#3 1巴黎A店9 3 21 7
#4 2卡迪夫B店15 6 15 6
#5 3都柏林C店10 5 10 14
#都柏林3号店C 10 9 10 14

library(dplyr)
other_shop %>%
    group_by(shop_id, shop_name) %>%
    mutate(shop_total_sale_goal = sum(unique(city_sale_goal), na.rm = TRUE), 
           shop_profit = sum(profit, na.rm = TRUE)) %>%
    ungroup

# A tibble: 6 x 7
#  shop_id shop_name city    city_sale_goal profit shop_total_sale_goal shop_profit
#    <dbl> <chr>     <chr>            <dbl>  <dbl>                <dbl>       <dbl>
#1       1 Shop A    London              12      3                   21           7
#2       1 Shop A    London              12      1                   21           7
#3       1 Shop A    Paris                9      3                   21           7
#4       2 Shop B    Cardiff             15      6                   15           6
#5       3 Shop C    Dublin              10      5                   10          14
#6       3 Shop C    Dublin              10      9                   10          14