replacing NA with for loop vs dplyr

[mara]

Some nice options in the thread here using a combination of tidyr::replace_na(), scoped dplyr verbs (e.g. mutate_at()), as well as some base Ｒ options:

Replacing NA's in a dataframe/tibble

Thanks for the suggestion to look again at replace_na. After some more experimentation these worked well and are slightly simpler: mutate_all(funs(replace_na(., 0))) mutate_if(is.numeric, funs(replace_na(., 0)))

Replacing NA's in a dataframe/tibble

That's a good solution. I've been using: df[is.na(df)] <- 0 but it does not fit in a pipe chain very smoothly. I really like mutate_if(is.numeric, funs(replace_na(., 0))) thanks for sharing what you figured out!