My example dataset:
df <- data.frame(
REGION = c(\"REGION A\", \"REGION A\", \"REGION B\"),
CATEGORY = c(\"A\", \"B\", \"B\"),
VALUE1 = c(2,3,4),
VA
Using complete
from tidyr:
library(tidyr)
as.data.frame(complete(df,REGION,CATEGORY,fill=list(VALUE1=0,VALUE2=0)))
Output:
REGION CATEGORY VALUE1 VALUE2
1 REGION A A 2 1
2 REGION A B 3 2
3 REGION B A 0 0
4 REGION B B 4 3
If there are many variables, you could also just do as.data.frame(complete(df,REGION,CATEGORY))
and replace the NA
's afterwards.
Hope this helps!