Try this:
df %>% na.omit
or this:
df %>% filter(complete.cases(.))
or this:
library(tidyr)
df %>% drop_na
If you want to filter based on one variable's missingness, use a conditional:
df %>% filter(!is.na(x1))
or
df %>% drop_na(x1)
Other answers indicate that of the solutions above na.omit
is much slower but that has to be balanced against the fact that it returns row indices of the omitted rows in the na.action
attribute whereas the other solutions above do not.
str(df %>% na.omit)
## 'data.frame': 2 obs. of 2 variables:
## $ x1: num 1 2
## $ x2: num 1 2
## - attr(*, "na.action")= 'omit' Named int 3 4
## ..- attr(*, "names")= chr "3" "4"
ADDED Have updated to reflect latest version of dplyr and comments.
ADDED Have updated to reflect latest version of tidyr and comments.