I have 10 text files containing 1000's of rows.
Example: First File:
V1  V2
1   2
2   3
10 20
1   4    
.....
Second file:
V1  V2
1   2
8   10
.....
What I want is a final file which will contain 12 columns. The first two columns representing the relationship and the next 10 columns telling about different files ( represented by 1 if that pair is present and 0 if not present ) For example:
Final File:
V1  V2  V3  V4  V5  V6  V7  V8  V9  V10  V11  V12
1   2   1   1   0   0   1    0   1   1    0     1
2   3   1   0   1   1   0    0   0   1    1     0
Now, after searching, I found,
# Create dummy data
L <- replicate(5, expand.grid(1:10, 1:10)[sample(100, 10), ], simplify=FALSE)
# Add a column to each data.frame in L. 
# This will indicate presence of the pair when we merge.
L <- lapply(seq_along(L), function(i) { 
  L[[i]][, paste0('DF', i)] <-  1
  L[[i]] 
})
# Merge all the things 
# (hat-tip to @Charles - http://stackoverflow.com/a/8097519/489704)
L.merged <- Reduce(function(...) merge(..., all=T), L)
head(L.merged)
#   Var1 Var2 DF1 DF2 DF3 DF4 DF5
# 1    1    2  NA  NA  NA   1  NA
# 2    1    5   1  NA  NA  NA   1
# 3    1    9  NA  NA  NA   1  NA
# 4    1   10  NA  NA   1   1  NA
# 5    2    5  NA  NA   1  NA  NA
# 6    2    6  NA   1  NA   1  NA
However, the problem is that, this is not showing those rows which have all NA's. For eg:
# 7    4    5  NA  NA  NA  NA  NA
