我的数据如下:
df <- expand.grid(grade = c("A", 1, "B", 2, 3, "C"), value = c(0, 1))
Run Code Online (Sandbox Code Playgroud)
当我尝试更换A,B以及C在A S case_when声明中,非替换值去NA......我希望他们留下来!
尝试:
library(dplyr)
df_new <- df %>%
mutate(grade = case_when(
.$grade == "A" ~ 1,
.$grade == "B" ~ 2,
.$grade == "C" ~ 3))
Run Code Online (Sandbox Code Playgroud)
期望的输出:
df <- data.frame(grade = c(rep(1, 4), rep(2, 4), rep(3, 4)), value = rep(c(0, 1), 6))
Run Code Online (Sandbox Code Playgroud)
注意**寻找case_when解决方案NOT ifelse解决方案.
TJ *_*ahr 29
case_when语句是双边公式,其中左侧是逻辑测试,右侧是该测试时分配的值TRUE.
从未与逻辑测试匹配的值将获得默认替换值:NA.要保持这些值不变NA,请包括最终的全部测试和替换.
df %>%
mutate(old_grade = grade) %>%
select(old_grade, grade, value) %>%
mutate(grade = case_when(
.$grade == "A" ~ 1,
.$grade == "B" ~ 2,
.$grade == "C" ~ 3,
TRUE ~ as.numeric(as.character(.$grade))))
#> Warning: NAs introduced by coercion
#> old_grade grade value
#> 1 A 1 0
#> 2 1 1 0
#> 3 B 2 0
#> 4 2 2 0
#> 5 3 3 0
#> 6 C 3 0
#> 7 A 1 1
#> 8 1 1 1
#> 9 B 2 1
#> 10 2 2 1
#> 11 3 3 1
#> 12 C 3 1
Run Code Online (Sandbox Code Playgroud)
编辑:哎呀,我忘了这grade是一个因素.解决方案现在有效