根据组

Question

考虑以下数据框：

ID <- c(1,1,1,2,2,3,3,3,3)
A <- c("No","No","Yes","Yes","Yes","No","No","No","No")
B <- c("Yes","Yes","Yes","Yes","Yes","No","No","No","No")
df <- data.frame(ID,A,B)

我想要创建B列，其中至少出现一个＆＃34;是＆＃34;在A栏中只得到＆＃34;是＆＃34;列B中的每个单独ID的值。我尝试了以下两种方法（我觉得我几乎就在那里）：

library(dplyr)
df <- df %>% 
  group_by(ID) %>% 
  mutate(B1=ifelse(A == "Yes", "Yes", "No")) # B1 is the new column for comparison

不幸的是，它提供了与A

相同的列

和

df2 <- transform(df, B1= ave(A, ID, FUN=function(x) x[A == "Yes"]))

会产生错误消息：

1：在x [...] < - m中：   要替换的项目数量不是替换长度的倍数

非常感谢帮助。