replace_na

0th

Percentile

Replace missing values

Replace missing values

Usage
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.

Aliases
  • replace_na
Examples
# NOT RUN {
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"))
df %>% mutate(x = replace_na(x, 0))

# NULL are the list-col equivalent of NAs
df %>% replace_na(list(z = list(5)))

df$x %>% replace_na(0)
df$y %>% replace_na("unknown")
# }
Documentation reproduced from package tidyr, version 0.8.1, License: MIT + file LICENSE

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