Recode Missing Values Dictionary-Style
dict_recode(
df,
use_func = "recode_na_as",
pattern_type = "starts_with",
patterns,
values
)A data.frame object for which recoding is to be done.
Function to use for the recoding. One of the various `recode_*` functions in package `mde`.
One of contains', 'starts_with' or 'ends_with'.
A vector containing patterns to use for pattern_type
A vector containing values to match to the patterns vector
A `data.frame` object with replacements as required.
head(dict_recode(airquality, pattern_type="starts_with",
patterns = c("Solar", "Ozone"), values = c(190, 41),
use_func="recode_as_na"))
#> Ozone Solar.R Wind Temp Month Day
#> 1 NA NA 7.4 67 5 1
#> 2 36 118 8.0 72 5 2
#> 3 12 149 12.6 74 5 3
#> 4 18 313 11.5 62 5 4
#> 5 NA NA 14.3 56 5 5
#> 6 28 NA 14.9 66 5 6
head(dict_recode(airquality, pattern_type="starts_with",
patterns = c("Solar", "Ozone"), values = c(42, 420),
use_func="recode_na_as"))
#> Ozone Solar.R Wind Temp Month Day
#> 1 41 190 7.4 67 5 1
#> 2 36 118 8.0 72 5 2
#> 3 12 149 12.6 74 5 3
#> 4 18 313 11.5 62 5 4
#> 5 420 42 14.3 56 5 5
#> 6 28 42 14.9 66 5 6