Hi there,

I got two datasets which I joined 1:1. Since not every observation in the left has a observation on the right I have NA in the new on. Now I want to change the NA to "no". Problem is, that I am ahead of my team and don´t know how many variables I will join, but I wan´t to close this task now. Also the variables are factors. I tried this:

```
dt.full <- left_join(dt.left,dt.right) %>%
mutate_at(vars(starts_with("var_")), ~ if_else(is.na(.), "no", .))
```

and this

```
dt.full <- left_join(dt.left,dt.right) %>%
mutate_at(vars(starts_with("var_")), ~ ifelse(is.na(.), "no", .))
```

but both doesn´t solve the factor problem.

Can anybody help?

Thanks