I am looking to merge across two columns which contain different data. That is where it is empty in one column it is not empty in another, essentially data collected from two di
You can use dplyr::coalesce
function which selects values from columns that first appear as non NA; say if you want to combine the first two columns:
check %>% mutate(cat = coalesce(t7_1_ExpA_Intro1, t7_1_ExpB_Intro1))
# or check %>% mutate(cat = do.call(coalesce, .[1:n])) if you have more columns to coalesce
# A tibble: 6 x 5
# t7_1_ExpA_Intro1 t7_1_ExpB_Intro1 t7_1_ExpA_DV t7_1_ExpB_DV cat
# <int> <int> <int> <int> <int>
#1 NA NA NA NA NA
#2 NA NA NA NA NA
#3 NA NA NA NA NA
#4 NA 3 NA 3 3
#5 NA NA NA NA NA
#6 NA NA NA NA NA