switch between row wise and normal column wise in dplyr

Question

I was wondering how to switch between row wise and normal (column wise) in dplyr. For example, the below code works but it produces some red-colored logs like a warning. How could I do the "select" command in a normal style (not rowwise):

df <- tibble(id = 1:6, year1 = 15:10, year2 = 13:8, year3 = 30:35, year4 = 40:45)
df %>% rowwise() %>%  
mutate(output = list(isoreg(c_across(year1:year4))$yf)) %>%
tidyr::unnest_wider(output) %>%
select(., -starts_with("year"))

I think by easily switching between the mentioned modes the issue would be solved.

Answer 1

Return a named output which avoids the warnings. One way to do that is by using setNames.

library(dplyr)

df %>% 
  rowwise() %>%  
  mutate(output = list(setNames(isoreg(c_across(year1:year4))$yf, 
                       paste0('col', 1:4)))) %>%
  tidyr::unnest_wider(output) %>%
  select(-starts_with('year'))


# A tibble: 6 x 5
#     id  col1  col2  col3  col4
#  <int> <dbl> <dbl> <dbl> <dbl>
#1     1    14    14    30    40
#2     2    13    13    31    41
#3     3    12    12    32    42
#4     4    11    11    33    43
#5     5    10    10    34    44
#6     6     9     9    35    45