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Turn NAs to blank strings .

Usage

convert_na_to_blanks(x)

# Default S3 method
convert_na_to_blanks(x)

# S3 method for class 'character'
convert_na_to_blanks(x)

# S3 method for class 'list'
convert_na_to_blanks(x)

# S3 method for class 'data.frame'
convert_na_to_blanks(x)

Arguments

x

Any R object

Default value

none

Value

An object of the same class as the input

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 <- tribble(
  ~USUBJID,   ~RFICDTC,
  "1001", "2000-01-01",
  "1002", "2001-01-01",
  "1003",           NA
)
print(df)
#> # A tibble: 3 × 2
#>   USUBJID RFICDTC   
#>   <chr>   <chr>     
#> 1 1001    2000-01-01
#> 2 1002    2001-01-01
#> 3 1003    NA        
convert_na_to_blanks(df)
#> # A tibble: 3 × 2
#>   USUBJID RFICDTC     
#>   <chr>   <chr>       
#> 1 1001    "2000-01-01"
#> 2 1002    "2001-01-01"
#> 3 1003    ""