Reputation: 33
This is my data frame:
UID HH0 HH1 HH2 HH3 HH4 HH5
JEZAF000080843824 NA NA NA 1 NA NA
JEZAF000080843824 NA NA NA NA Y NA
JEZAF000080843824 NA NA NA NA NA 2
Here is what I looking for in the results
UID HH0 HH1 HH2 HH3 HH4 HH5
JEZAF000080843824 NA NA NA 1 Y 2
I have played around with dplyr
with group_by
but I am not sure what function to %>%
into. I know there is probably a simple answer but I am new with R.
Upvotes: 3
Views: 1889
Reputation: 887118
We can do this with na.omit
df1 %>%
group_by(UID) %>%
summarise_each(funs(na.omit))
# A tibble: 1 × 7
# UID HH0 HH1 HH2 HH3 HH4 HH5
# <chr> <lgl> <lgl> <lgl> <int> <chr> <int>
#1 JEZAF000080843824 NA NA NA 1 Y 2
Upvotes: 2