I have some columns in R and for each row there will only ever be a value in one of them, the rest will be NA\'s. I want to combine these into one column with the non-NA val
Here's a more general (but even simpler) solution which extends to all column types (factors, characters etc.) with non-ordered NA's. The strategy is simply to merge the non-NA values of other columns into your merged column using is.na
for indexing:
data$m = data$x # your new merged column start with x
data$m[!is.na(data$y)] = data$y[!is.na(data$y)] # merge with y
data$m[!is.na(data$z)] = data$z[!is.na(data$z)] # merge with z
> data
a x y z m
1 A 1 NA NA 1
2 B 2 NA NA 2
3 C NA 3 NA 3
4 D NA NA 4 4
5 E NA NA 5 5
Note that this will overwrite existing values in m
if there are several non-NA values in the same row. If you have a lot of columns you could automate this by looping over colnames(data)
.