group by and filter data management using dplyr

Take a simple dataset

a <- c(1,2,3,4,5,6,7,8) b <- c(1,2,2,1,2,2,2,2) c <- c(1,1,1,2,2,2,3,3) d <- data.frame(a,b,c)

now I want to filter my data, so that we group_by(c) and then remove all data where no b=1occurs.

Thus the results (e) should look like d but without the two bottom rows

I have tried using

e <- d %>% group_by(c) %>% filter(n(b)>1)

The output should contain the data in green below and remove the data in red

enter image description here

2 Answers

Try

d %>% group_by(c) %>% filter(any(b == 1))

Which gives:

#Source: local data frame [6 x 3] #Groups: c # # a b c #1 1 1 1 #2 2 2 1 #3 3 2 1 #4 4 1 2 #5 5 2 2 #6 6 2 2

You can try

df <- d %>% mutate(test = ifelse((b != 1) == T, 0, 1)) %>% group_by(c) %>% mutate(test = sum(test)) %>% filter(test != 0) %>% select(-test)

which yields

# a b c #1 1 1 1 #2 2 2 1 #3 3 2 1 #4 4 1 2 #5 5 2 2 #6 6 2 2