基于多个条件创建因子变量的R-Tidy方法

基于多个条件创建因子变量的R-Tidy方法,r,tidyverse,R,Tidyverse,我有这样一个数据集: Gender<-c("Male","Female","Male","Male","Female") PlaceA<-c("","","","1600","") PlaceB<-c("","200","211&q

我有这样一个数据集:

Gender<-c("Male","Female","Male","Male","Female")
PlaceA<-c("","","","1600","")
PlaceB<-c("","200","211","326","")
PlaceC<-c("1111","2222","","","45")
PlaceD<-c("1000","","","1600","210")
DF<-tibble(Gender,PlaceA,PlaceB,PlaceC,PlaceD)

gender您是否尝试过在
时使用
case\u
?正如@IceCreamToucan所提到的,
case\u当
时应该在这里起作用,只是要小心从最具体到最一般的条件开始列出-请参见此处的“模糊嗡嗡声”示例:您是否尝试过在
时使用
case\u?正如@IceCreamToucan所提到的,
case\u当
应该在此处工作时,请注意从最具体到最一般的条件开始列出-请参见此处的“模糊嗡嗡声”示例: