Modify vectors, dataframes, or matrices to fill missing values.

This is a wrapper of base::replace() with a simplified interface and a name that target the specific job of filling NA's. See also tidyr::replace_na and dplyr::coalesce.

fill_na(x, filler = 0)

Arguments

x	A dataframe.
filler	A filler; whatever you want to replace NA's with.

Value

A modified version of x.

See also

Other general functions to edit data in place: lookup

Examples

x <- data.frame(x = c(NA, 1), y = c("a", NA), stringsAsFactors = FALSE)

a_dataframe <- x
fill_na(a_dataframe)
#>   x y
#> 1 0 a
#> 2 1 0
fill_na(a_dataframe, "")
#>   x y
#> 1   a
#> 2 1  
fill_na(a_dataframe, "missing")
#>         x       y
#> 1 missing       a
#> 2       1 missing

a_matrix <- as.matrix(x)
fill_na(a_matrix)
#>      x    y  
#> [1,] "0"  "a"
#> [2,] " 1" "0"

a_vector <- x$x
fill_na(a_vector)
#> [1] 0 1

a_list <- list(x, x, x)
lapply(a_list, fill_na)
#> [[1]]
#>   x y
#> 1 0 a
#> 2 1 0
#> 
#> [[2]]
#>   x y
#> 1 0 a
#> 2 1 0
#> 
#> [[3]]
#>   x y
#> 1 0 a
#> 2 1 0
#>