I have 5 dichotomous variables (0=no and 1=yes). Selecting 'yes' indicates that a subject stated this behavior is a part of their coping skills (e.g., meditation; going for a walk). I have summed the coping skills variable and then created a factor (0 skills used; 1-2 skills used; 3 or more skills used).
levels(x$var1)
[1] "0" "1"
Total coping skills factor variable:
x %>% count(cop.skills)
# A tibble: 3 x 2
str.12 n
<fct> <int>
1 0 3743
2 1-2 4398
3 3+ 2632
There's a sixth dichotomous variable asking, "I have never done any of these behaviors (listed above)," with a dichotomous answer (0=no and 1=yes).
x %>% count(var6)
# A tibble: 2 x 2
stress2 n
<fct> <int>
1 0 11456
2 1 77
I would like to add the "yeses" to the "0" level of cop.skills variable. "cop.skills" would look like this:
x %>% count(cop.skills)
# A tibble: 3 x 2
str.12 n
<fct> <int>
1 0 3820
2 1-2 4398
3 3+ 2632
Not sure how to do this.
Why not just add them to your first result?
result <- x %>% count(cop.skills)
no_skills <- x %>% count(var6)
result[1, 2] <- result[1, 2] + no_skills[2, 2]