I have the following objects:

```
s1 = "1_1_1_1_1"
s2 = "2_1_1_1_1"
s3 = "3_1_1_1_1"

```

Please note that the value of s1, s2, s3 can change in another example.

I then have the follwoing data frame:

```
set.seed(666)
df = data.frame(draw = c(1,2,3,4,1,2,3,4,1,2,3,4),
                resp = c(1,1,1,1,2,2,2,2,3,3,3,3),
                "1_1_1_1_1" = runif(12),
                "2_1_1_1_1" = runif(12),
                "3_1_1_1_1" = runif(12)).

```

Please note that the column names of may data frame will change based on the values of s1,s2,s3.

I now want to achieve the following:

1. I want to find out which of last three columns in `df` has the highest value and store it as a value in a new column (values are supposed to be either of 1,2 or 3, depending on if the highest value is the first, second or third of these variables).
2. Now that I know which value is the highest **per row**, I want to group/summarize the result by the column `resp` and count how often my max value is 1, 2 or 3.

So the outcome from 1. should be:

```
draw    resp    1_1_1_1_1    2_1_1_1_1    3_1_1_1_1    max
1       1       0.774        0.095        0.806        3
2       1       0.197        0.142        0.266        3
...

```

And the outcome from 2. is supposed to be:

```
resp    first_max    second_max    third_max
1       1            1             2
2       2            1             1
3       1            2             1

```

My problem is that tidyverse's rowwise function is deprecated and that I don't know how I can dynamically address columns in a tidyverse pipe by column names which a re stored externally (here in s1, s2, s3). One last note: I might be overcomplicating things by trying to go by the column names, when, in fact, the positions of the columns that I'm interested in are always at column position 3:5.