I have a dataframe with some NA values:
dfa <- data.frame(a=c(1,NA,3,4,5,NA),b=c(1,5,NA,NA,8,9),c=c(7,NA,NA,NA,2,NA))
dfa
I would like t
In the tidyverse, you can use purrr::map2_df, which is a strictly bivariate version of mapply that simplifies to a data.frame, and dplyr::coalesce, which replaces NA values in its first argument with the corresponding ones in the second.
library(tidyverse)
dfrepair %>%
mutate_all(as.numeric) %>% # coalesce is strict about types
map2_df(dfa, ., coalesce)
## # A tibble: 6 × 3
## a b c
##
## 1 1 1 7
## 2 3 5 7
## 3 3 4 6
## 4 4 3 5
## 5 5 8 2
## 6 7 9 3