Hi, I search how to replace my "NA" in my database by real NA. For this i use this code :
commun <- commun %>% mutate(across( .cols = everything() , .fns = ~ gsub("NA",NA, .x)))
but in my data if a name or surname contains NA like "NATACHA" or "PANACOTA", it is also change as a NA, and I don't want this. Do you know how can I subset only when we have the full word, with no letters before of after "NA"
Thank you for your time.
Is this of any help?
library(tidyverse)
df <- tibble(
x = c("BANANA", "APPLE", "NA", "ORANGE"),
y = c("NATURE", "INDUSTRY", "ENERGY", "NA")
)
df
#> # A tibble: 4 x 2
#> x y
#> <chr> <chr>
#> 1 BANANA NATURE
#> 2 APPLE INDUSTRY
#> 3 NA ENERGY
#> 4 ORANGE NA
df %>% mutate(across(.cols = everything(),
.fns = ~ gsub("NA", NA, .x)))
#> # A tibble: 4 x 2
#> x y
#> <chr> <chr>
#> 1 <NA> <NA>
#> 2 APPLE INDUSTRY
#> 3 <NA> ENERGY
#> 4 ORANGE <NA>
df %>% mutate(across(.cols = everything(),
.fns = ~ if_else(.x == "NA", NA_character_, .x)))
#> # A tibble: 4 x 2
#> x y
#> <chr> <chr>
#> 1 BANANA NATURE
#> 2 APPLE INDUSTRY
#> 3 <NA> ENERGY
#> 4 ORANGE <NA>
Created on 2022-04-20 by the reprex package (v2.0.1)
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Closed
April 27, 2022, 11:26am
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