Replace missing values

replace_na(data, replace, ...)

Arguments

data

A data frame or vector.

replace

If data is a data frame, a named list giving the value to replace NA with for each column. If data is a vector, a single value used for replacement.

...

Additional arguments for methods. Currently unused.

See also

na_if to replace specified values with a NA. coalesce to replace missing values with a specified value. recode to more generally replace values.

Examples

library(dplyr) df <- tibble(x = c(1, 2, NA), y = c("a", NA, "b"), z = list(1:5, NULL, 10:20)) df %>% replace_na(list(x = 0, y = "unknown"))
#> # A tibble: 3 x 3 #> x y z #> <dbl> <chr> <list> #> 1 1 a <int [5]> #> 2 2 unknown <NULL> #> 3 0 b <int [11]>
df %>% mutate(x = replace_na(x, 0))
#> # A tibble: 3 x 3 #> x y z #> <dbl> <chr> <list> #> 1 1 a <int [5]> #> 2 2 <NA> <NULL> #> 3 0 b <int [11]>
# NULL are the list-col equivalent of NAs df %>% replace_na(list(z = list(5)))
#> # A tibble: 3 x 3 #> x y z #> <dbl> <chr> <list> #> 1 1 a <int [5]> #> 2 2 <NA> <dbl [1]> #> 3 NA b <int [11]>
df$x %>% replace_na(0)
#> [1] 1 2 0
df$y %>% replace_na("unknown")
#> [1] "a" "unknown" "b"