It can be useful to add special missing values, naniar supports this with the recode_shadow function.

recode_shadow(data, ...)

Arguments

data

data.frame

...

A sequence of two-sided formulas as in dplyr::case_when, but when a wrapper function .where written around it.

Value

a dataframe with altered shadows

Examples

df <- tibble::tribble( ~wind, ~temp, -99, 45, 68, NA, 72, 25 ) dfs <- bind_shadow(df) dfs
#> # A tibble: 3 x 4 #> wind temp wind_NA temp_NA #> <dbl> <dbl> <fct> <fct> #> 1 -99 45 !NA !NA #> 2 68 NA !NA NA #> 3 72 25 !NA !NA
recode_shadow(dfs, temp = .where(wind == -99 ~ "bananas"))
#> # A tibble: 3 x 4 #> wind temp wind_NA temp_NA #> * <dbl> <dbl> <fct> <fct> #> 1 -99 45 !NA NA_bananas #> 2 68 NA !NA NA #> 3 72 25 !NA !NA
recode_shadow(dfs, temp = .where(wind == -99 ~ "bananas")) %>% recode_shadow(wind = .where(wind == -99 ~ "apples"))
#> # A tibble: 3 x 4 #> wind temp wind_NA temp_NA #> * <dbl> <dbl> <fct> <fct> #> 1 -99 45 NA_apples NA_bananas #> 2 68 NA !NA NA #> 3 72 25 !NA !NA