Filtering on grouped variable

Question

I have a dataframe:

df <- data.frame(
          Group=c(\'A\',\'A\',\'A\',\'B\',\'B\',\'B\'),
          Activity = c(\'Act1\',\'Act4\', \'Act3\',\'Act1\',         


        

Answer 1

You need to wrap it any

library(dplyr)
df %>% 
  group_by(Group) %>% 
  filter(any(Activity == 'Act1')  & any(Activity == 'Act2'))

# Group Activity
#      
#1 B     Act1    
#2 B     Act2    
#3 B     Act3 

Using the same logic in base R option ave

df[as.logical(ave(df$Activity, df$Group, 
              FUN = function(x) any(x == 'Act1')  & any(x == 'Act2'))), ]

---

You can get the same result using all

df %>% 
  group_by(Group) %>% 
  filter(all(c("Act1", "Act2") %in% Activity))

and similar with ave

df[as.logical(ave(df$Activity, df$Group, 
           FUN = function(x) all(c("Act1", "Act2") %in% x))),]


# Group Activity
#4     B     Act1
#5     B     Act2
#6     B     Act3