Hello,

I have this dataframe called **df_all_combinations** that consists of a binary set of variables. I want to perform a lookup that where it finds a 1 it will replace it with the corresponding value of **p** depending on column position (so all 1's in column 1 should become 6 while all the 1's in column 9 should become 10). I want to do the same for **w**. I am not sure if I can do this with a mutate_all (I don't want to do this with various for loops).

```
library(tidyverse)
df_initial <- data_frame(V1 = c(0,1),
V2 = c(0,1),
V3 = c(0,1),
V4 = c(0,1),
V5 = c(0,1),
V6 = c(0,1),
V7 = c(0,1),
V8 = c(0,1),
V9 = c(0,1)
)
df_all_combinations <- tidyr::expand(df_initial,V1,V2,V3,V4,V5,V6,V7,V8,V9)
p <- c(6, 6, 6, 6, 6, 6, 6, 8, 10)
w <- c(3, 3, 3, 3, 3, 3, 3, 4, 5)
```