Turn NA
s to blank strings .
Usage
convert_na_to_blanks(x)
# S3 method for default
convert_na_to_blanks(x)
# S3 method for character
convert_na_to_blanks(x)
# S3 method for list
convert_na_to_blanks(x)
# S3 method for data.frame
convert_na_to_blanks(x)
Details
The default methods simply returns its input unchanged. The character
method
turns every instance of NA_character_
or NA
into ""
while preserving all attributes.
When given a data frame as input the function keeps all non-character columns
as is and applies the just described logic to character
all attributes such as labels are preserved.
See also
Utilities for Formatting Observations:
convert_blanks_to_na()
,
yn_to_numeric()
Examples
library(tibble)
convert_na_to_blanks(c("a", "b", NA, "d", NA))
#> [1] "a" "b" "" "d" ""
df <- tibble(
a = structure(c("a", "b", NA, "c"), label = "A"),
b = structure(c(1, NA, 21, 9), label = "B"),
c = structure(c(TRUE, FALSE, TRUE, TRUE), label = "C"),
d = structure(c(NA, NA, "s", "q"), label = "D")
)
print(df)
#> # A tibble: 4 x 4
#> a b c d
#> <chr> <dbl> <lgl> <chr>
#> 1 a 1 TRUE NA
#> 2 b NA FALSE NA
#> 3 NA 21 TRUE s
#> 4 c 9 TRUE q
convert_na_to_blanks(df)
#> # A tibble: 4 x 4
#> a b c d
#> <chr> <dbl> <lgl> <chr>
#> 1 "a" 1 TRUE ""
#> 2 "b" NA FALSE ""
#> 3 "" 21 TRUE "s"
#> 4 "c" 9 TRUE "q"