Turn SAS blank strings into proper R NA
s.
Usage
convert_blanks_to_na(x)
# Default S3 method
convert_blanks_to_na(x)
# S3 method for class 'character'
convert_blanks_to_na(x)
# S3 method for class 'list'
convert_blanks_to_na(x)
# S3 method for class 'data.frame'
convert_blanks_to_na(x)
Details
The default methods simply returns its input unchanged. The character
method
turns every instance of ""
into NA_character_
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
columns. Once again
all attributes such as labels are preserved.
See also
Utilities for Formatting Observations:
convert_na_to_blanks()
,
yn_to_numeric()
Examples
library(tibble)
convert_blanks_to_na(c("a", "b", "", "d", ""))
#> [1] "a" "b" NA "d" NA
df <- tribble(
~USUBJID, ~RFICDTC,
"1001", "2000-01-01",
"1002", "2001-01-01",
"1003", ""
)
print(df)
#> # A tibble: 3 × 2
#> USUBJID RFICDTC
#> <chr> <chr>
#> 1 1001 "2000-01-01"
#> 2 1002 "2001-01-01"
#> 3 1003 ""
convert_blanks_to_na(df)
#> # A tibble: 3 × 2
#> USUBJID RFICDTC
#> <chr> <chr>
#> 1 1001 2000-01-01
#> 2 1002 2001-01-01
#> 3 1003 NA