Conditional replacement of NAs with specified values

Unlike tidyr::replace_na(), it is only defined for vectors.

replace_na_if(x, condition, true)

Arguments

x

Vector with missing values to modify.

condition

A logical vector

true

The replacement values where condition is TRUE.

Value

A modified version of x that replaces any missing values where condition is TRUE

with true.

Details

replace_na_if() is a wrapper on if_else2(is.na(x) & condition, true, x)

See also

tidyr::replace_na() and if_else2()

Examples

data <- tibble::tibble(
  x = c(TRUE, FALSE, NA), 
  y = c("x is false", NA, "x is false"))
  
dplyr::mutate(data,
    x1 = tidyr::replace_na(x, FALSE),
    x3 = if_else2(is.na(x) & y == "x is false", FALSE, x),
    x4 = replace_na_if(x, y == "x is false", FALSE))
#> # A tibble: 3 × 5
#>   x     y          x1    x3    x4   
#>   <lgl> <chr>      <lgl> <lgl> <lgl>
#> 1 TRUE  x is false TRUE  TRUE  TRUE 
#> 2 FALSE NA         FALSE FALSE FALSE
#> 3 NA    x is false FALSE FALSE FALSE