[英]Grouping regions according to area codes in statistical program R
I want to create an area group according to the areacode.我想根据区号创建一个区域组。 By doing this, all area_g becomes A. Only codes 50110250, 50110253, 50110310 should be A!
通过这样做,所有 area_g 都变为 A。只有代码 50110250、50110253、50110310 应该是 A! and 50110101~50110140 should be 'B'.
和 50110101~50110140 应该是“B”。 what's wrong... This is the code I wrote.
怎么了...这是我写的代码。 Thank you.
谢谢你。
AAA <- AAA %>%
mutate(AAA, area_g = ifelse(areacode==50110250|50110253|50110310, "A",
ifelse(areacode==50110101:50110140, "B",
ifelse(areacode==50110256|50110253, "C",
ifelse(areacode==50130250|50130310, "D",
ifelse(areacode==50130101:50130122, "E",
ifelse(areacode==50130253|50130259|50130320, "F")))))))
As mentioned in the comments:如评论中所述:
ifelse
functions, because dplyr::case_when()
is more legible and less error-proneifelse
函数,因为dplyr::case_when()
更易读且不易出错%in%
operator will assess whether the left-hand side is present in the vector on the right hand-side. %in%
运算符将评估左侧是否存在于右侧的向量中。library(dplyr)
# Simulate data
AAA <- data.frame(areacode = 0:10)
AAA |>
mutate(area_g = case_when(areacode == 0 ~ "A",
areacode %in% 1:3 ~ "B",
areacode == 4 ~ "C",
areacode %in% 5:7 ~ "D",
TRUE ~ "E"))
#> areacode area_g
#> 1 0 A
#> 2 1 B
#> 3 2 B
#> 4 3 B
#> 5 4 C
#> 6 5 D
#> 7 6 D
#> 8 7 D
#> 9 8 E
#> 10 9 E
#> 11 10 E
Created on 2022-06-24 by the reprex package (v2.0.1)由reprex 包(v2.0.1)于 2022 年 6 月 24 日创建
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