I have the following dataframe
df <- data.frame(drug = c("__Drug A__", "__NA__", "__Drug B__", "__NA__", "__Drug C__", "__NA__"))
and would like to replace __NA__
values with a preciding value so that the final column will be
df <- data.frame(drug = c("__Drug A__", "__Drug A__", "__Drug B__", "__Drug B__", "__Drug C__", "__Drug C__"))
Any help will be appreciated. Thanks in advanceQ
You could first replace the values with NA and after that fill
them down like this:
library(dplyr)
library(tidyr)
df %>%
mutate(drug = na_if(drug, "__NA__")) %>%
fill(drug, .direction = "down")
#> drug
#> 1 __Drug A__
#> 2 __Drug A__
#> 3 __Drug B__
#> 4 __Drug B__
#> 5 __Drug C__
#> 6 __Drug C__
Created on 2024-02-22 with reprex v2.0.2